{
  "total": 403,
  "topics": [
    {
      "id": 183998,
      "title": "Leaderboard Finalized - Congratulations to the Winners!",
      "comment_count": 4,
      "views": 0,
      "votes": 43
    },
    {
      "id": 181940,
      "title": "Opportunity to increase your weekly TPU quota for four weeks",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 158875,
      "title": "New to Machine Learning or Kaggle? Come say Hi!",
      "comment_count": 25,
      "views": 0,
      "votes": 15
    },
    {
      "id": 158877,
      "title": "External Data/Pre-Trained Models Disclosure Thread",
      "comment_count": 121,
      "views": 0,
      "votes": 24
    },
    {
      "id": 159341,
      "title": "Hi everyone!",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 160293,
      "title": "IMPORTANT: Please stop crawling Xeno-canto",
      "comment_count": 12,
      "views": 0,
      "votes": 50
    },
    {
      "id": 159172,
      "title": "Welcome!",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 158880,
      "title": "Welcome!",
      "comment_count": 10,
      "views": 0,
      "votes": 16
    },
    {
      "id": 159142,
      "title": "Hi all!",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 172573,
      "title": "Audio Feature Extraction: Best Practices",
      "comment_count": 15,
      "views": 0,
      "votes": 47
    },
    {
      "id": 177551,
      "title": "Be careful when copy/pasting code from public kernels",
      "comment_count": 21,
      "views": 0,
      "votes": 42
    },
    {
      "id": 159167,
      "title": "Did you hear this too in the training data?",
      "comment_count": 6,
      "views": 0,
      "votes": 24
    },
    {
      "id": 181162,
      "title": "Code for CutMix / MixUp for audio data",
      "comment_count": 6,
      "views": 0,
      "votes": 23
    },
    {
      "id": 308123,
      "title": "🔝5️⃣  Solutions with Notebooks from 🦅 Birdcall 2021 contest in Kaggle 💥✅🦅",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 162688,
      "title": "Literature Review: Cornell Birdcall Identification",
      "comment_count": 7,
      "views": 0,
      "votes": 22
    },
    {
      "id": 183199,
      "title": "3rd place solution",
      "comment_count": 75,
      "views": 0,
      "votes": 133
    },
    {
      "id": 183204,
      "title": "6th place solution and some thoughts",
      "comment_count": 64,
      "views": 0,
      "votes": 162
    },
    {
      "id": 183208,
      "title": "1st Place Solution",
      "comment_count": 33,
      "views": 0,
      "votes": 147
    },
    {
      "id": 183269,
      "title": "2nd place solution",
      "comment_count": 38,
      "views": 0,
      "votes": 105
    },
    {
      "id": 158933,
      "title": "Previous works for inspiration",
      "comment_count": 15,
      "views": 0,
      "votes": 142
    },
    {
      "id": 183571,
      "title": "7th place solution (writeup with code)",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 167792,
      "title": "Workaround for librosa not working",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 158943,
      "title": "Previous Audio competitions and solutions",
      "comment_count": 2,
      "views": 0,
      "votes": 86
    },
    {
      "id": 183616,
      "title": "Post-competition Shake-up report",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 188926,
      "title": "Question for Stefan Kahl",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 183300,
      "title": "5th place solution",
      "comment_count": 19,
      "views": 0,
      "votes": 74
    },
    {
      "id": 183258,
      "title": "39th place solution [top1 at public]",
      "comment_count": 12,
      "views": 0,
      "votes": 51
    },
    {
      "id": 181499,
      "title": "Do you trust your own validation or public LB in this comp?",
      "comment_count": 62,
      "views": 0,
      "votes": 15
    },
    {
      "id": 183436,
      "title": "13th place digest",
      "comment_count": 11,
      "views": 0,
      "votes": 27
    },
    {
      "id": 183203,
      "title": "First gold medal and hopefully in 'da' money :)",
      "comment_count": 11,
      "views": 0,
      "votes": 30
    },
    {
      "id": 183219,
      "title": "18th place solution: efficientnet b3",
      "comment_count": 18,
      "views": 0,
      "votes": 68
    },
    {
      "id": 183201,
      "title": "Congrats to new GMs @theoviel and @yaroshevskiy 🎉",
      "comment_count": 16,
      "views": 0,
      "votes": 39
    },
    {
      "id": 183339,
      "title": "4-th place solution",
      "comment_count": 10,
      "views": 0,
      "votes": 41
    },
    {
      "id": 183209,
      "title": "21st Place Write-up [Stack-up]",
      "comment_count": 9,
      "views": 0,
      "votes": 15
    },
    {
      "id": 183223,
      "title": "8th Place Solution",
      "comment_count": 3,
      "views": 0,
      "votes": 17
    },
    {
      "id": 183407,
      "title": "10th Place Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 30
    },
    {
      "id": 183240,
      "title": "43rd place solution",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 183265,
      "title": "Winning Solutions Collection",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 183696,
      "title": "Feedback for future competitions",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 182860,
      "title": "All the best!",
      "comment_count": 12,
      "views": 0,
      "votes": 10
    },
    {
      "id": 176959,
      "title": "Any hints to beat the 0.568 baseline?",
      "comment_count": 63,
      "views": 0,
      "votes": 28
    },
    {
      "id": 183777,
      "title": "More Audio Classification data",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 183222,
      "title": "36th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 19
    },
    {
      "id": 183335,
      "title": "My first audio competition but not the last",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 183776,
      "title": "The 19th place in the ranking has been exiled. Why has our ranking not changed?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 183315,
      "title": "9th place solution",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 183217,
      "title": "The sliding window idea in a nutshell",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 183216,
      "title": "You could have gotten 34th place using XingJian Lyu's public weights",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 183196,
      "title": "167 Place Solution",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 183655,
      "title": "19th position account is deleted. but still part of leaderboard ",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 183424,
      "title": "Collection: List of Ranked Notebooks and Topics",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 183212,
      "title": "101st Place Solution (Top 8%)",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 183224,
      "title": "What cause shake up?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 185082,
      "title": "Thanks for sharing",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 183207,
      "title": "AMA with 10th Pos Solo Gold, \"Barázdabillegető\" (Beluga) | CTDS.Show",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 183198,
      "title": "Congratulations to all !",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 183255,
      "title": "17th Place Solution : file-level post-process",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 183015,
      "title": "New CV - Trust your CV",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 183197,
      "title": "First competition handle shake-up well. CV made the magic",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 183218,
      "title": "My solution for my first medal (silver)",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 183266,
      "title": "33rd Place Solution",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 183141,
      "title": "Consistency and Effort",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183192,
      "title": "Waitting For Nice Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 182859,
      "title": "Hard Swish",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 183053,
      "title": "good luck to everyone",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 182551,
      "title": "How to blend model with different best thread",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 182502,
      "title": "Inference Hacks",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183006,
      "title": "Mark final submission?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 179592,
      "title": "Accelerating librosa read",
      "comment_count": 33,
      "views": 0,
      "votes": 45
    },
    {
      "id": 181204,
      "title": "[Help] Should we add noise (or not) ?",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 182050,
      "title": "SED explained very well",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 181737,
      "title": "How to train data in parts?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 179253,
      "title": "Question to host: are you sure test data sampling is always 32000?",
      "comment_count": 22,
      "views": 0,
      "votes": 13
    },
    {
      "id": 181473,
      "title": "Where can I get enough 'nocall' data?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 180998,
      "title": "Beware: merger submission count larger than LB submission. Errors count in merger but not LB",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 181298,
      "title": "Simple threshold optimizer",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 176368,
      "title": "Nocall samples extracted from the example test audios",
      "comment_count": 9,
      "views": 0,
      "votes": 44
    },
    {
      "id": 182091,
      "title": "Country field in train data: Is it safe to train only on USA data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181450,
      "title": "Non image based notebook, in case you want a different angle to try:",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 181514,
      "title": "RuntimeError: CUDA error: device-side assert triggered",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 182239,
      "title": "Commit notebook fails to error out",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181456,
      "title": "Save dataset as HDF5 file.",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 176615,
      "title": "Mockingbird is amazing",
      "comment_count": 6,
      "views": 0,
      "votes": 26
    },
    {
      "id": 180028,
      "title": "Is the devil in the threshold !?",
      "comment_count": 50,
      "views": 0,
      "votes": 23
    },
    {
      "id": 182191,
      "title": "Label noise in CV",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 180848,
      "title": "[Question to Hosts] Should we expect a big difference in data?",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 180787,
      "title": "Better models lower LB Score",
      "comment_count": 31,
      "views": 0,
      "votes": 7
    },
    {
      "id": 179951,
      "title": "Accelerating Computer Vision on PyTorch (Nvidia @ ECCV 2020)",
      "comment_count": 4,
      "views": 0,
      "votes": 55
    },
    {
      "id": 181035,
      "title": "Very low score even the model works well",
      "comment_count": 13,
      "views": 0,
      "votes": null
    },
    {
      "id": 178675,
      "title": "Speeding up data loading process",
      "comment_count": 30,
      "views": 0,
      "votes": 19
    },
    {
      "id": 178948,
      "title": "Incorrect version being submitted",
      "comment_count": 14,
      "views": 0,
      "votes": 13
    },
    {
      "id": 181342,
      "title": "Application of attention models.",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181141,
      "title": "Good CV but low lb score",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 181149,
      "title": "Saving Melsectograms to speed up training ? ",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 180561,
      "title": "May we get approximate latitude and longitude of the test sites?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 180846,
      "title": "[Question to Hosts] Can we use example audio for training?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 180622,
      "title": "Any success on validation on 2 files in example_test_audio ?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 176752,
      "title": "Different mix of schedulers and settings",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 180254,
      "title": "Why resample at prediction time?",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 178917,
      "title": "What are the Augmentations that have worked for you?",
      "comment_count": 13,
      "views": 0,
      "votes": 16
    },
    {
      "id": 179547,
      "title": "Change channel from 3 (rgb) to 1, or optimize the input?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 179766,
      "title": "What loss function are you using?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 180761,
      "title": "Anyone tried SNR as a heuristic?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 176873,
      "title": "Xeno \"External\" data in .wav format (Resampled)",
      "comment_count": 3,
      "views": 0,
      "votes": 24
    },
    {
      "id": 180279,
      "title": "Bird frequency range",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 180669,
      "title": "FUN CONCEPT : Detect birds by detecting birdsound using video of leaves maybe.",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 180445,
      "title": "Nocall model : LB 0.427",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 180472,
      "title": "Newbie Question on Test Dataset",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 180360,
      "title": "Not getting test_audio even after submission???",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 179928,
      "title": "Need help with PyTorch Pfn extras (PPE)",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 178191,
      "title": "Would you like to use TPU？",
      "comment_count": 13,
      "views": 0,
      "votes": 22
    },
    {
      "id": 179290,
      "title": "Is denoise in only test data effective?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 180234,
      "title": "Model is now getting trained but on background sound like river flowing, raining etc",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 176968,
      "title": "Timestamps for train data",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 180394,
      "title": "Submission Scoring Error - can Utility Scripts be used?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 178910,
      "title": "trying to create a local validation set",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 179051,
      "title": "nnAudio for audio/spec-processing",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 179662,
      "title": "Parallelized Audio Feature Extraction Study",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 176199,
      "title": "Dealing with secondary labels",
      "comment_count": 12,
      "views": 0,
      "votes": 9
    },
    {
      "id": 178961,
      "title": "Simple Mechanical Birdcall Isolation Function",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 179063,
      "title": "Is audio overlapping essentially \"Mix-up\" for audio?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 178414,
      "title": "What's wrong with the LB",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 176548,
      "title": "far slower loading of sound files on other platforms (gcloud + colab)",
      "comment_count": 20,
      "views": 0,
      "votes": 9
    },
    {
      "id": 177690,
      "title": "Evaluation metric is F1 with average=\"samples\"",
      "comment_count": 12,
      "views": 0,
      "votes": 15
    },
    {
      "id": 178753,
      "title": "Validation approach",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174494,
      "title": "Augmentation Methods",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 177930,
      "title": "Difference between image and audio augmentations ",
      "comment_count": 12,
      "views": 0,
      "votes": 6
    },
    {
      "id": 178524,
      "title": "Notebook Timeout Error while submission",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 178297,
      "title": "Training time & CV metric",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 177926,
      "title": "Audio Albumentations",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 177992,
      "title": "The Importance of Threshold 0.525 - 0.552",
      "comment_count": 16,
      "views": 0,
      "votes": 5
    },
    {
      "id": 177584,
      "title": "Test set prob results ",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 178298,
      "title": "aldfly/XC178481.wav",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 176490,
      "title": "SED? That just sounds like Audio Tagging with extra steps",
      "comment_count": 11,
      "views": 0,
      "votes": 11
    },
    {
      "id": 178497,
      "title": "Can the noise in the bird's voice improve the score?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 176941,
      "title": "predict nocall by panns-inference.",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 178144,
      "title": "Domain Shifting",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 178681,
      "title": "Tensorflow Predictions Super slow",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 176806,
      "title": "Another trust LB game?",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 178158,
      "title": "Missed \"birds\" from the example test audio",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 176748,
      "title": "Kudos to kaggle for floating GPU quota!",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 178099,
      "title": "Do you use a CNN over a row waveforms?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 176961,
      "title": "Usefull resources",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 177008,
      "title": "Submission CSV not found",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 178009,
      "title": "Can we hand label training data set?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170016,
      "title": "Shakeup?",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 178377,
      "title": "EfficientNet Training",
      "comment_count": 1,
      "views": 0,
      "votes": -8
    },
    {
      "id": 177623,
      "title": " Good results with image TTA inference?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 176808,
      "title": "Notebook Timeout",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177547,
      "title": "Strange durations",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 170913,
      "title": "[Imp] Augmentation methods for audio",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 175657,
      "title": "Using a nearest neighbors approach with a filtered spectrogram. ",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173144,
      "title": "Your CV vs. LB comparison",
      "comment_count": 59,
      "views": 0,
      "votes": 27
    },
    {
      "id": 177323,
      "title": "fastAI for audio",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177418,
      "title": "How many model we can blend?",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 170104,
      "title": "Low F1-Score with \"example_test_audio\" using popular notebook",
      "comment_count": 22,
      "views": 0,
      "votes": 8
    },
    {
      "id": 177247,
      "title": "Convert audio to images for analysis",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 173558,
      "title": "Row-Wise Micro Averaged F1 Score",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 177548,
      "title": "multilabel or multiclassification problem",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177241,
      "title": "Is F1-score too low for Initial epochs for everyone?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169317,
      "title": "interesting : Central Pattern Generators to Synthesize Birdsongs",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 176642,
      "title": "3 weeks for the competition!!",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177638,
      "title": "Useful Resources",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177281,
      "title": "Test Example Audio - 5 sec clips [around 79 \"nocall\" samples]",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 176651,
      "title": "Song Bird NLP",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 177351,
      "title": "Newbie question: Can I read gs://xxx dataset directly on Colab?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 176659,
      "title": "[Learn with] 3D Spectrogram ",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 177177,
      "title": "Learning Path for speech recognistion",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 176872,
      "title": "segment-level prediction required, about 150 segment-level annotated, only 2 available?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177254,
      "title": "example test audio summary not aligned with metadata start end",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 176962,
      "title": "Sometimes extremely low score after long time submission metric calculating",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175479,
      "title": "Beginner friendly approach to audio analysis",
      "comment_count": 13,
      "views": 0,
      "votes": 12
    },
    {
      "id": 176231,
      "title": "what augmentations do you use? ",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 177097,
      "title": "ideas for post processing",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 176858,
      "title": "Bird vocalizations: Adversarial Audio Synthesis (ICLR 2019) sound examples",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 172042,
      "title": "Be Aware of Your Model's Inference Time",
      "comment_count": 11,
      "views": 0,
      "votes": 10
    },
    {
      "id": 176176,
      "title": "How do you monitor training?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 176683,
      "title": "Test data is very different from training data",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169538,
      "title": "[placeholder] creating annotated soundscapes for  local validation set ",
      "comment_count": 48,
      "views": 0,
      "votes": 46
    },
    {
      "id": 176880,
      "title": "Submit Button Greyed",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 168657,
      "title": "what works in this competition?!",
      "comment_count": 16,
      "views": 0,
      "votes": 33
    },
    {
      "id": 176397,
      "title": "Has anyone tried Efficient Det? ",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 176051,
      "title": "About site1 site2 site3",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174906,
      "title": "Bug Bug Bug - Halp Please",
      "comment_count": 5,
      "views": 0,
      "votes": 15
    },
    {
      "id": 175027,
      "title": "Review of Sound Event Detection",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 176688,
      "title": "Resampling example_test_audio to 32kHz - Duration is changing",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 175806,
      "title": "Data Dictionary for Training MetaData - train.csv file",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 175616,
      "title": "A script for you to resample your data.",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 175766,
      "title": "Awesome Read for Beginners. ",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 176184,
      "title": "top_db maximum value (librosa.split)",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175864,
      "title": "Question to the organizers about train data markup",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 176240,
      "title": "Were there any similar competitions on kaggle ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 176065,
      "title": "Public vs private data distribution",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168654,
      "title": "Unable toload test files.",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 164197,
      "title": "Resampled Train Audio on Kaggle Dataset",
      "comment_count": 15,
      "views": 0,
      "votes": 115
    },
    {
      "id": 159970,
      "title": "Why stop at 100?",
      "comment_count": 40,
      "views": 0,
      "votes": 122
    },
    {
      "id": 176108,
      "title": "Where is test_audio folder?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 176175,
      "title": "How do you monitor training?",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 176170,
      "title": "Clipping the training data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 175097,
      "title": "Model Output Observations",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 173775,
      "title": "Deep Learning for Audio Classification Tutorial 🔴[Youtube Playlist]",
      "comment_count": 5,
      "views": 0,
      "votes": 20
    },
    {
      "id": 174187,
      "title": "how distance affects snr of birdsong spectrogram ",
      "comment_count": 3,
      "views": 0,
      "votes": 26
    },
    {
      "id": 171133,
      "title": "Why normalization matter when mixing bird sounds ?!",
      "comment_count": 25,
      "views": 0,
      "votes": 30
    },
    {
      "id": 175419,
      "title": "Offline models for SED",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173976,
      "title": "Learn more about Audio Signal Processing",
      "comment_count": 11,
      "views": 0,
      "votes": 19
    },
    {
      "id": 176016,
      "title": "What is test.csv for?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 176024,
      "title": "What Is period??",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174828,
      "title": "[Live] Ask the birds directly + live testing",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 174774,
      "title": "How to do badcase study in this competition?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 175860,
      "title": "Relevant noise to add in validation set to mimic the test set",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 174778,
      "title": "MishBeta + ExponentialLR",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 176091,
      "title": "Use this thread to team-up!",
      "comment_count": 2,
      "views": 0,
      "votes": -14
    },
    {
      "id": 175438,
      "title": "Problem submitting result",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164741,
      "title": "Secondary Labels with no time stamp?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 175169,
      "title": "test_audio and submission to competition with hidden folders",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 174968,
      "title": "Cannot Find the Test_Audio files",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 158876,
      "title": "Looking for a Team Megathread",
      "comment_count": 68,
      "views": 0,
      "votes": 15
    },
    {
      "id": 175067,
      "title": "[deleted post]",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 167202,
      "title": "Very challenging points about CBR",
      "comment_count": 20,
      "views": 0,
      "votes": 43
    },
    {
      "id": 174384,
      "title": "Optimize disk memory",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174226,
      "title": "What data do we use for submission?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173016,
      "title": "Methods for Sound Noise Reduction",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 168667,
      "title": "tackling domain adaptation head on is tough - what else can we do?",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 171247,
      "title": "What's your current validation scheme?",
      "comment_count": 19,
      "views": 0,
      "votes": 33
    },
    {
      "id": 170821,
      "title": "What works (or not) for me in this competition",
      "comment_count": 29,
      "views": 0,
      "votes": 47
    },
    {
      "id": 159123,
      "title": "Few questions about test data",
      "comment_count": 13,
      "views": 0,
      "votes": 37
    },
    {
      "id": 173488,
      "title": "Dealing with \"PySoundFile failed. Trying audioread instead.\" warning from librosa.load",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173587,
      "title": "Cross Validation with Randomly Cropped Segments for Every Fold?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 174365,
      "title": "Evaluation metric clarifications",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 172921,
      "title": "How to apply denoise in test time?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 174267,
      "title": "Merging manual features with neural-network ones?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 172356,
      "title": "More active in this competition",
      "comment_count": 10,
      "views": 0,
      "votes": 10
    },
    {
      "id": 173370,
      "title": "Version Compare [Found]",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 171154,
      "title": "is there a \"chart of frequency of bird call/song?\"",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 159993,
      "title": "Custom Check Phase",
      "comment_count": 5,
      "views": 0,
      "votes": 59
    },
    {
      "id": 158987,
      "title": "Confusion about test set",
      "comment_count": 26,
      "views": 0,
      "votes": 69
    },
    {
      "id": 173747,
      "title": "Why is duration 0 in some rows?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167263,
      "title": "How should we make validation and decide threshold?",
      "comment_count": 8,
      "views": 0,
      "votes": 25
    },
    {
      "id": 173276,
      "title": "Clarify competition metric",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 171566,
      "title": "Mel Spectograms in real life ",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 172278,
      "title": "How to Start?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 173057,
      "title": "Noise augmentation problem",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173173,
      "title": "Is model training outside kaggle kernel allowed?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 172618,
      "title": "Aldfly + Nocall = Good Solution?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 171607,
      "title": "can someone share detailed description of audio feature extraction?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 165107,
      "title": "About \"No custom packages enabled in kernels\"  ",
      "comment_count": 15,
      "views": 0,
      "votes": 15
    },
    {
      "id": 158937,
      "title": "Incomplete training data?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166358,
      "title": "submission",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 171421,
      "title": "Is Resnet alone giving better score",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 159507,
      "title": "Bad description or not understanding?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 172693,
      "title": "Statistical Tests as Features",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 168169,
      "title": "Running out of memory",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 172346,
      "title": "[Help] Your notebook tried to allocate more memory than is available.",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 171471,
      "title": "Should we use sigmoid or softmax for inference? We trained with Softmax but use sigmoid for inference???",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 160222,
      "title": "[fastai, pytorch, 0.48 LB] Early Competition Starter Pack ",
      "comment_count": 16,
      "views": 0,
      "votes": 67
    },
    {
      "id": 163657,
      "title": "CNN, RNN..? What's your approach?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 171316,
      "title": "librosa load does not load all of mp3?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170856,
      "title": "Output layer activation functions for training/predicting",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 171592,
      "title": "Bird sound Pre-processing",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 163427,
      "title": "What will maximum leaderboard be?",
      "comment_count": 22,
      "views": 0,
      "votes": 11
    },
    {
      "id": 169582,
      "title": "[Imp] How to remove background Noise?",
      "comment_count": 12,
      "views": 0,
      "votes": 33
    },
    {
      "id": 171660,
      "title": "tf.Keras not using GPU",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 166953,
      "title": "submission problem",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 159410,
      "title": "Making a Submission",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 170749,
      "title": "[caution][for beginners] librosa.load()",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 159290,
      "title": "Pre-processing and Augmentation libraries?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 171004,
      "title": "Squirrels, unknown birds, and scoring",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167611,
      "title": "Different aggregation over feature map and their effects",
      "comment_count": 7,
      "views": 0,
      "votes": 32
    },
    {
      "id": 160320,
      "title": "[Competition Metrics]",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 161860,
      "title": "[ESP Starter Pack v2, 0.48 LB] MIL with resnet34",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 159943,
      "title": "resampled and reorganized train data ready for download",
      "comment_count": 13,
      "views": 0,
      "votes": 50
    },
    {
      "id": 171466,
      "title": "Create Mel Spectograms before or during training?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 171153,
      "title": "Where is the \"hidden\" test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161787,
      "title": "Important Research Papers worth Mentioning",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 158908,
      "title": "Audio Pre-processing Techniques",
      "comment_count": 6,
      "views": 0,
      "votes": 42
    },
    {
      "id": 170860,
      "title": "Why Inference for Submission",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 161611,
      "title": "Is it a good approach?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 169258,
      "title": "First Challenge - Make a successful submission",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 170589,
      "title": "Beginner's question",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161617,
      "title": "Don't understand the test part",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 170343,
      "title": "How does pre-trained models work?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 170694,
      "title": "Query about Spectogram",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 160321,
      "title": "train set resampled to 32kHz ready for download",
      "comment_count": 2,
      "views": 0,
      "votes": 24
    },
    {
      "id": 166486,
      "title": "Detecting bird sound in unknown acoustic background using crowdsourced training data",
      "comment_count": 1,
      "views": 0,
      "votes": 25
    },
    {
      "id": 161505,
      "title": "Anyone Try WaveNet?",
      "comment_count": 17,
      "views": 0,
      "votes": 29
    },
    {
      "id": 170471,
      "title": "Ray Paralelization for Making Mels Spectrograms",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 169689,
      "title": "Question about Micro-Averaged F1",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 167264,
      "title": "Singing/Background Split Datasets",
      "comment_count": 7,
      "views": 0,
      "votes": 24
    },
    {
      "id": 162304,
      "title": "Training Script Sharing",
      "comment_count": 10,
      "views": 0,
      "votes": 51
    },
    {
      "id": 158972,
      "title": "[Fun Intented] Permission from Birds",
      "comment_count": 8,
      "views": 0,
      "votes": 41
    },
    {
      "id": 169415,
      "title": "Professionals guide",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168166,
      "title": "SpecAugment with Pytorch",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 163528,
      "title": "[thoughts on troubleshooting submissions] what happens if we don't submit valid predictions? ",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 164640,
      "title": "Congrats on breaking 0.56 !!!",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 164106,
      "title": "A ‘Viral’ New Bird Song in Canada Is Causing Sparrows to Change Their Tune",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 159431,
      "title": "Bert Equivalent for Audio Classification ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 159731,
      "title": "potentially corrupt file found in train_audio",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 161816,
      "title": "Submission Scoring Error",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168824,
      "title": "What is Wrong with my submission ?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168311,
      "title": "why only 2 submission per day?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 166485,
      "title": "Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 164345,
      "title": "[Public 0.568, PyTorch] ResNeSt Training & Inference Baseline",
      "comment_count": 5,
      "views": 0,
      "votes": 50
    },
    {
      "id": 167865,
      "title": "Train locally, infer in notebook?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 167871,
      "title": "Easily Process Audio on Your GPU with TensorFlow",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 167622,
      "title": "To understand Audio and its features",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 164318,
      "title": "Is that a meme ?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 168219,
      "title": "U-Net maybe the key",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 168269,
      "title": "Help for audio ML beginners ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168133,
      "title": "EDA on Combine Dataset ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 167781,
      "title": "So what are we predicting exactly?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 167508,
      "title": "Techniques for real-time collaboration w/ Jupyter Notebooks?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166577,
      "title": "[Novelty Starter Pack, LB 0.545] Training + submission in a single notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 165403,
      "title": "Interactive Birdcall App 📱",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 162970,
      "title": "There is corrupted mp3 data...???",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 166820,
      "title": "Multi-label dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 167378,
      "title": "How to use the extended dataset and pre-trained models?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 167019,
      "title": "Hi all, where can I find a detailed explanation of each column in train.csv?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 162540,
      "title": "Missing sampling rate for one mp3 file",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 167036,
      "title": "lotduk / XC195038.mp3",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 167035,
      "title": "example test audio",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 161324,
      "title": "Notebook time out when submitting",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 165232,
      "title": "Instant access to preprocessed dataset: permission to share",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 166252,
      "title": "No space left on device",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 165871,
      "title": "submission error",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 161629,
      "title": "librosa not working",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 165683,
      "title": "White-throated sparrows across Canada are abandoning an old song in exchange for a trendy new tune. The reason remains a mystery.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 165496,
      "title": "Efficiency",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 164698,
      "title": "[ESP Starter Pack v3, 0.55 LB] Res34 trained on 80x212 specs",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 165067,
      "title": "Some doubts regarding evaluation",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 164033,
      "title": "Audio to spectrum using librosa",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 164771,
      "title": "Can I use several kernels in my pipeline and just submit one?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162063,
      "title": "LB score precision",
      "comment_count": 3,
      "views": 0,
      "votes": 20
    },
    {
      "id": 164230,
      "title": "Why is MFCC still so iconic for audio embedding ?",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 164375,
      "title": "How to Resample MP3s??",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 164495,
      "title": " What is output",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164364,
      "title": "Ways to deal with different audio lengths",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163698,
      "title": "Hidden test set characteristics",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 164313,
      "title": "Unable to import pyAudioAnalysis properly..",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 164164,
      "title": "SpeedUp Training....!",
      "comment_count": 5,
      "views": 0,
      "votes": -2
    },
    {
      "id": 164189,
      "title": "CNN Architectures",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 163630,
      "title": "Audio Sampling Rate",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163751,
      "title": "Is this worth trying?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162381,
      "title": "Congratulations to new Grandmaster Alex Shonenkov 🎉",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 162874,
      "title": "Converting Audio files to Spectogram",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 160454,
      "title": "Cocktail Party Problem, FastICA and other resources for audio signals separation",
      "comment_count": 4,
      "views": 0,
      "votes": 17
    },
    {
      "id": 163412,
      "title": "Meta Data For Test Set",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163833,
      "title": "Decoding audio signal basics",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159968,
      "title": "Some Easy Questions",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 158938,
      "title": "List of useful resources",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 161858,
      "title": "Training with background noise as an additional class?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 163123,
      "title": "Able to train using Kaggle Kernels?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 160802,
      "title": "Useful features available from the audio analysis",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 163286,
      "title": "Where's the test dataset?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 162591,
      "title": "How to use pip-installed libraries during submission?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162779,
      "title": "Why not convert audio data into tabular data for prediction",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161686,
      "title": "How to convert melspectorgram to 3D array (Image) ",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 162624,
      "title": "Question about code requirements",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 162532,
      "title": "How to get training data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 162363,
      "title": "I have committed the notebook with full run to save the results. Where can I see the progress?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 161049,
      "title": "here's how to handle variable lengths",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 162236,
      "title": "Techniques to create valid spectrograms",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161521,
      "title": "Pre-trained ResNet-34 birdcall classifier",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 162002,
      "title": "Classification Threshold?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 160759,
      "title": "Lessons learned from 2019 Freesound audio tagging competition",
      "comment_count": 0,
      "views": 0,
      "votes": 21
    },
    {
      "id": 162050,
      "title": "Spectogram",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 161490,
      "title": "Approximately how many rows in the hidden test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 160589,
      "title": "Duration = 0 audios",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 161020,
      "title": "Problem Downloading Data",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 161571,
      "title": "Notebook Exceeded Allowed Comput",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160260,
      "title": "how to best represent a vocalization?",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 160346,
      "title": "Question about Site 3 + test.csv",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 160427,
      "title": "xeno-canto classification tutorial",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 159492,
      "title": "testset distribution from submission scores.",
      "comment_count": 2,
      "views": 0,
      "votes": 29
    },
    {
      "id": 159911,
      "title": "S2IGAN: Speech-to-Image Generation via Adversarial Learning",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 160397,
      "title": "Submission Error: Your notebook can't use internet connection for this competition",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 160152,
      "title": "important terms u need to know",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 160550,
      "title": "Question about meta data",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160960,
      "title": "Search for a teammate",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 160466,
      "title": "test.csv file metadata",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 160204,
      "title": "Questions about Test Set & Pre-trained Model",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160693,
      "title": "MP3 Files stuck in memory?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 160361,
      "title": "Why is there a boundary at about 16000 Hz ?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159992,
      "title": "How to test inference code in kernel?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 159001,
      "title": "Dataset converted to spectrograms",
      "comment_count": 8,
      "views": 0,
      "votes": 17
    },
    {
      "id": 158900,
      "title": "Are three rows in the open test data enough for good models?",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 160460,
      "title": "Tentative PyTorch baseline (Melspectrogram + ResNet-34)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 160145,
      "title": "Preprocessing long audio clips",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159065,
      "title": "GeoSpatial Visualization",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 160007,
      "title": "How many of you have WORKED submission?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160096,
      "title": "Submit button is disabled",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 158944,
      "title": "Loading mp3 files",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 158969,
      "title": "torchaudio and visualizing waveforms",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 159173,
      "title": "Get code running without test sample",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 159383,
      "title": "Explaination on Micro-Average F1 Score - (Evaluation Metric used for this competition)",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 159422,
      "title": ".wav converter",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159483,
      "title": "How to upload Spectrogram in your kernel",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 159844,
      "title": "Problem with downloading data via interface",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158906,
      "title": "Simple EDA",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 159013,
      "title": "Older works and solutions from Freesound etc",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 158951,
      "title": "Can we get an example notebook?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159075,
      "title": "Will a 1070 be enough for this competition?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 159112,
      "title": "MP3/Numpy",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159121,
      "title": "I like the sound of birds but what is up with this test file?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    }
  ],
  "errors": []
}