Thanks for participating in this competition!
\nI am a postdoctoral fellow at the Cornell Lab of Ornithology and co-host of this challenge. I have dedicated my work to the automated detection of bird sounds in continuous audio data and would be more than happy to assist and guide you with any questions you may have during this challenge. Furthermore, I’m the lead developer of a bird sound detection system called BirdNET and I know how hard it can be to develop a reliable detection system, especially when it comes to soundscapes.
\nGood luck everyone, and rest assured that your contribution will advance our efforts to monitor endangered species and habitats.
\nStefan
", "messages": [ { "id": 1259713, "postDate": "2021-04-01T15:50:01.867Z", "content": "Thanks for participating in this competition!
\nI am a postdoctoral fellow at the Cornell Lab of Ornithology and co-host of this challenge. I have dedicated my work to the automated detection of bird sounds in continuous audio data and would be more than happy to assist and guide you with any questions you may have during this challenge. Furthermore, I’m the lead developer of a bird sound detection system called BirdNET and I know how hard it can be to develop a reliable detection system, especially when it comes to soundscapes.
\nGood luck everyone, and rest assured that your contribution will advance our efforts to monitor endangered species and habitats.
\nStefan
", "rawMarkdown": "Thanks for participating in this competition! \n\nI am a postdoctoral fellow at the Cornell Lab of Ornithology and co-host of this challenge. I have dedicated my work to the automated detection of bird sounds in continuous audio data and would be more than happy to assist and guide you with any questions you may have during this challenge. Furthermore, I’m the lead developer of a bird sound detection system called [BirdNET](https://birdnet.cornell.edu/) and I know how hard it can be to develop a reliable detection system, especially when it comes to soundscapes. \n\nGood luck everyone, and rest assured that your contribution will advance our efforts to monitor endangered species and habitats.\n\nStefan\n", "votes": 26 }, { "id": 1260274, "postDate": "2021-04-02T01:47:29.610Z", "content": "Hello, all; I'm back as another co-organizer, and will just give my hellos here, to avoid cluttering the discussions with another pinned topic!
\nI'm a Googler who's been working on birdsong recognition and related problems in my 20% time for the last few years. In my main job, I work on low-bitrate speech coding.
\nI'll also be around this time to answer the occasional question; good luck, all!
", "rawMarkdown": "Hello, all; I'm [back](https://www.kaggle.com/c/birdsong-recognition/discussion/159172) as another co-organizer, and will just give my hellos here, to avoid cluttering the discussions with another pinned topic! \n\nI'm a Googler who's been working on birdsong recognition and related problems in my 20% time for the last few years. In my main job, I work on [low-bitrate speech coding](https://ai.googleblog.com/2021/02/lyra-new-very-low-bitrate-codec-for.html).\n\nI'll also be around this time to answer the occasional question; good luck, all!", "votes": 6 }, { "id": 1262510, "postDate": "2021-04-04T11:50:42.487Z", "content": "It is great that you shared a submission kernel. Last competition was great, but guessing the test data was an unpleasant experience. Glad your spared us this time.
", "rawMarkdown": "It is great that you shared a submission kernel. Last competition was great, but guessing the test data was an unpleasant experience. Glad your spared us this time.", "votes": 1 }, { "id": 1261163, "postDate": "2021-04-02T18:35:44.377Z", "content": "Thanks for hosting this competition!
\nI really like the tweaks (more recordings, more birds, more sites, additional meta data)!
", "rawMarkdown": "Thanks for hosting this competition!\n\nI really like the tweaks (more recordings, more birds, more sites, additional meta data)!", "votes": 1 }, { "id": 1278922, "postDate": "2021-04-20T12:22:27.013Z", "content": "I spent some time on the BirdNET website last night; great stuff! I found the Cornell lab’s interview with Stefan on YouTube to be very interesting and informative, and I’d recommend it to others.
\nAnd I love the live feed from Cornell Lab. I tuned in for a few minutes last night to see multiple Canada Goose detections, backed by a loud and steady chorus of spring peepers (frogs). (Of course, now I’m having listening-station monitoring envy, and I’m dreaming about having microphones around our property.)
\nIt still remains to be seen how far I’ll personally get on the machine learning front, but my mind is whirring with ideas and applications for these models as the state-of-the-art continues to improve. It's exciting to have an opportunity to take part in this.
", "rawMarkdown": "I spent some time on the BirdNET website last night; great stuff! I found [the Cornell lab’s interview with Stefan on YouTube](https://youtu.be/MQHunTLt1TI) to be very interesting and informative, and I’d recommend it to others. \n\nAnd I love the live feed from Cornell Lab. I tuned in for a few minutes last night to see multiple Canada Goose detections, backed by a loud and steady chorus of spring peepers (frogs). (Of course, now I’m having listening-station monitoring envy, and I’m dreaming about having microphones around our property.) \n\nIt still remains to be seen how far I’ll personally get on the machine learning front, but my mind is whirring with ideas and applications for these models as the state-of-the-art continues to improve. It's exciting to have an opportunity to take part in this. ", "votes": 2 }, { "id": 1269374, "postDate": "2021-04-10T13:38:12.700Z", "content": "Thank you for preparing this great data. In the next version, I think I can do more interesting research when audio-visual cross domain data is released.
", "rawMarkdown": "Thank you for preparing this great data. In the next version, I think I can do more interesting research when audio-visual cross domain data is released." }, { "id": 1265229, "postDate": "2021-04-06T17:40:13.267Z", "content": "Hello, could you show more decimal places?
", "rawMarkdown": "Hello, could you show more decimal places?", "replies": [ { "id": 1268233, "postDate": "2021-04-09T08:21:42.663Z", "content": "If this is to compare your sub scores then you can sort them by public score.
", "rawMarkdown": "If this is to compare your sub scores then you can sort them by public score.", "votes": 1 } ] }, { "id": 1260855, "postDate": "2021-04-02T13:11:22.347Z", "content": "So excited for this. Let the chirping begin!
", "rawMarkdown": "So excited for this. Let the chirping begin!" }, { "id": 1265946, "postDate": "2021-04-07T10:59:28.053Z", "rawMarkdown": "", "votes": 4, "isDeleted": true } ], "comments": [ { "id": 1260274, "author_name": "Tom Denton", "author_url": "", "post_date": "2021-04-02T01:47:29.610000", "content": "Hello, all; I'm back as another co-organizer, and will just give my hellos here, to avoid cluttering the discussions with another pinned topic!
\nI'm a Googler who's been working on birdsong recognition and related problems in my 20% time for the last few years. In my main job, I work on low-bitrate speech coding.
\nI'll also be around this time to answer the occasional question; good luck, all!
", "votes": 6, "replies": [] }, { "id": 1262510, "author_name": "CPMP", "author_url": "", "post_date": "2021-04-04T11:50:42.487000", "content": "It is great that you shared a submission kernel. Last competition was great, but guessing the test data was an unpleasant experience. Glad your spared us this time.
", "votes": 1, "replies": [] }, { "id": 1261163, "author_name": "beluga", "author_url": "", "post_date": "2021-04-02T18:35:44.377000", "content": "Thanks for hosting this competition!
\nI really like the tweaks (more recordings, more birds, more sites, additional meta data)!
", "votes": 1, "replies": [] }, { "id": 1278922, "author_name": "undisclosed", "author_url": "", "post_date": "2021-04-20T12:22:27.013000", "content": "I spent some time on the BirdNET website last night; great stuff! I found the Cornell lab’s interview with Stefan on YouTube to be very interesting and informative, and I’d recommend it to others.
\nAnd I love the live feed from Cornell Lab. I tuned in for a few minutes last night to see multiple Canada Goose detections, backed by a loud and steady chorus of spring peepers (frogs). (Of course, now I’m having listening-station monitoring envy, and I’m dreaming about having microphones around our property.)
\nIt still remains to be seen how far I’ll personally get on the machine learning front, but my mind is whirring with ideas and applications for these models as the state-of-the-art continues to improve. It's exciting to have an opportunity to take part in this.
", "votes": 2, "replies": [] }, { "id": 1269374, "author_name": "Tony Lee", "author_url": "", "post_date": "2021-04-10T13:38:12.700000", "content": "Thank you for preparing this great data. In the next version, I think I can do more interesting research when audio-visual cross domain data is released.
", "votes": 0, "replies": [] }, { "id": 1265229, "author_name": "Kramarenko Vladislav", "author_url": "", "post_date": "2021-04-06T17:40:13.267000", "content": "Hello, could you show more decimal places?
", "votes": 0, "replies": [ { "id": 1268233, "author_name": "CPMP", "author_url": "", "post_date": "2021-04-09T08:21:42.663000", "content": "If this is to compare your sub scores then you can sort them by public score.
", "votes": 1, "replies": [] } ] }, { "id": 1260855, "author_name": "Adarsh Pandey", "author_url": "", "post_date": "2021-04-02T13:11:22.347000", "content": "So excited for this. Let the chirping begin!
", "votes": 0, "replies": [] }, { "id": 1265946, "author_name": "", "author_url": "", "post_date": "2021-04-07T10:59:28.053000", "content": "", "votes": 4, "replies": [] } ], "raw_markdown_by_id": { "1259713": "Thanks for participating in this competition! \n\nI am a postdoctoral fellow at the Cornell Lab of Ornithology and co-host of this challenge. I have dedicated my work to the automated detection of bird sounds in continuous audio data and would be more than happy to assist and guide you with any questions you may have during this challenge. Furthermore, I’m the lead developer of a bird sound detection system called [BirdNET](https://birdnet.cornell.edu/) and I know how hard it can be to develop a reliable detection system, especially when it comes to soundscapes. \n\nGood luck everyone, and rest assured that your contribution will advance our efforts to monitor endangered species and habitats.\n\nStefan\n", "1260274": "Hello, all; I'm [back](https://www.kaggle.com/c/birdsong-recognition/discussion/159172) as another co-organizer, and will just give my hellos here, to avoid cluttering the discussions with another pinned topic! \n\nI'm a Googler who's been working on birdsong recognition and related problems in my 20% time for the last few years. In my main job, I work on [low-bitrate speech coding](https://ai.googleblog.com/2021/02/lyra-new-very-low-bitrate-codec-for.html).\n\nI'll also be around this time to answer the occasional question; good luck, all!", "1262510": "It is great that you shared a submission kernel. Last competition was great, but guessing the test data was an unpleasant experience. Glad your spared us this time.", "1261163": "Thanks for hosting this competition!\n\nI really like the tweaks (more recordings, more birds, more sites, additional meta data)!", "1278922": "I spent some time on the BirdNET website last night; great stuff! I found [the Cornell lab’s interview with Stefan on YouTube](https://youtu.be/MQHunTLt1TI) to be very interesting and informative, and I’d recommend it to others. \n\nAnd I love the live feed from Cornell Lab. I tuned in for a few minutes last night to see multiple Canada Goose detections, backed by a loud and steady chorus of spring peepers (frogs). (Of course, now I’m having listening-station monitoring envy, and I’m dreaming about having microphones around our property.) \n\nIt still remains to be seen how far I’ll personally get on the machine learning front, but my mind is whirring with ideas and applications for these models as the state-of-the-art continues to improve. It's exciting to have an opportunity to take part in this. ", "1269374": "Thank you for preparing this great data. In the next version, I think I can do more interesting research when audio-visual cross domain data is released.", "1265229": "Hello, could you show more decimal places?", "1260855": "So excited for this. Let the chirping begin!", "1265946": "" } }