{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\n# import os\n# for dirname, _, filenames in os.walk('/kaggle/input'):\n#     for filename in filenames:\n#         print(os.path.join(dirname, filename))\n        \n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-06-16T06:54:39.869699Z","iopub.execute_input":"2022-06-16T06:54:39.870157Z","iopub.status.idle":"2022-06-16T06:54:39.875840Z","shell.execute_reply.started":"2022-06-16T06:54:39.870120Z","shell.execute_reply":"2022-06-16T06:54:39.874675Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import os\nimport pandas as pd\nimport torch\nimport torchaudio\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport plotly.express as px\nimport librosa\nimport librosa.display\nimport IPython.display as ipd\nimport sklearn\nimport warnings\nimport seaborn as sns\nwarnings.filterwarnings('ignore')","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:39.881345Z","iopub.execute_input":"2022-06-16T06:54:39.881969Z","iopub.status.idle":"2022-06-16T06:54:39.894739Z","shell.execute_reply.started":"2022-06-16T06:54:39.881934Z","shell.execute_reply":"2022-06-16T06:54:39.893536Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_csv=pd.read_csv('/kaggle/input/birdclef-2022/train_metadata.csv')\ntrain_csv.head()\n\n","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:39.896350Z","iopub.execute_input":"2022-06-16T06:54:39.896827Z","iopub.status.idle":"2022-06-16T06:54:39.979775Z","shell.execute_reply.started":"2022-06-16T06:54:39.896793Z","shell.execute_reply":"2022-06-16T06:54:39.979138Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"base_dir = '../input/birdclef-2022/train_audio'\n\nakiapo=base_dir+ '/' +train_csv[train_csv['primary_label'] == \"akiapo\"].sample(1, random_state = 33)['filename'].values[0]\naniani=base_dir+ '/' +train_csv[train_csv['primary_label'] == \"aniani\"].sample(1, random_state = 33)['filename'].values[0]\napapan=base_dir+ '/' +train_csv[train_csv['primary_label'] == \"apapan\"].sample(1, random_state = 33)['filename'].values[0]\nbarpet=base_dir+ '/' +train_csv[train_csv['primary_label'] == \"barpet\"].sample(1, random_state = 33)['filename'].values[0]\nskylar=base_dir+ '/' +train_csv[train_csv['primary_label'] == \"skylar\"].sample(1, random_state = 33)['filename'].values[0]\nhoufin=base_dir+ '/' +train_csv[train_csv['primary_label'] == \"houfin\"].sample(1, random_state = 33)['filename'].values[0]\nbirds= [\"akiapo\", \"aniani\", \"apapan\", \"barpet\", \"skylar\",'houfin']","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:39.980828Z","iopub.execute_input":"2022-06-16T06:54:39.981260Z","iopub.status.idle":"2022-06-16T06:54:40.013402Z","shell.execute_reply.started":"2022-06-16T06:54:39.981230Z","shell.execute_reply":"2022-06-16T06:54:40.012506Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ipd.Audio(akiapo)\n","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:40.015327Z","iopub.execute_input":"2022-06-16T06:54:40.015842Z","iopub.status.idle":"2022-06-16T06:54:40.032764Z","shell.execute_reply.started":"2022-06-16T06:54:40.015811Z","shell.execute_reply":"2022-06-16T06:54:40.031862Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ipd.Audio(aniani)\n","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:40.034110Z","iopub.execute_input":"2022-06-16T06:54:40.034451Z","iopub.status.idle":"2022-06-16T06:54:40.043231Z","shell.execute_reply.started":"2022-06-16T06:54:40.034422Z","shell.execute_reply":"2022-06-16T06:54:40.042452Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ipd.Audio(apapan)\n","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:40.044601Z","iopub.execute_input":"2022-06-16T06:54:40.045519Z","iopub.status.idle":"2022-06-16T06:54:40.057387Z","shell.execute_reply.started":"2022-06-16T06:54:40.045475Z","shell.execute_reply":"2022-06-16T06:54:40.056405Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ipd.Audio(barpet)\n","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:40.058497Z","iopub.execute_input":"2022-06-16T06:54:40.058805Z","iopub.status.idle":"2022-06-16T06:54:40.070459Z","shell.execute_reply.started":"2022-06-16T06:54:40.058778Z","shell.execute_reply":"2022-06-16T06:54:40.069356Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ipd.Audio(skylar)\n","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:40.122082Z","iopub.execute_input":"2022-06-16T06:54:40.122818Z","iopub.status.idle":"2022-06-16T06:54:40.152716Z","shell.execute_reply.started":"2022-06-16T06:54:40.122766Z","shell.execute_reply":"2022-06-16T06:54:40.151799Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ipd.Audio(houfin)\n","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:40.154659Z","iopub.execute_input":"2022-06-16T06:54:40.155280Z","iopub.status.idle":"2022-06-16T06:54:40.191103Z","shell.execute_reply.started":"2022-06-16T06:54:40.155235Z","shell.execute_reply":"2022-06-16T06:54:40.190453Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Loading and Visualizing an audio file:\n* librosa.load: loads an audio file as a floating point time series and gives it's native sampling rate.\n* The sampling frequency (or sample rate) is the number of samples (data points) per second in an audio.\n* We can check the audio length by dividing the total number of data points by the sampling frequency.\n","metadata":{}},{"cell_type":"code","source":"y, sr = librosa.load(akiapo)\nprint('y:', y, '\\n')\nprint('y shape:', np.shape(y), '\\n')\nprint('Sample Rate (KHz):', sr, '\\n')\nprint('Check Len of Audio:', np.shape(y)[0]/sr)","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:40.192315Z","iopub.execute_input":"2022-06-16T06:54:40.192795Z","iopub.status.idle":"2022-06-16T06:54:41.155847Z","shell.execute_reply.started":"2022-06-16T06:54:40.192762Z","shell.execute_reply":"2022-06-16T06:54:41.154735Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y, sr = librosa.load(aniani)\nprint('y:', y, '\\n')\nprint('y shape:', np.shape(y), '\\n')\nprint('Sample Rate (KHz):', sr, '\\n')\nprint('Check Len of Audio:', np.shape(y)[0]/sr)","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:41.157527Z","iopub.execute_input":"2022-06-16T06:54:41.158192Z","iopub.status.idle":"2022-06-16T06:54:41.330541Z","shell.execute_reply.started":"2022-06-16T06:54:41.158133Z","shell.execute_reply":"2022-06-16T06:54:41.329542Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y_akiapo, sr_akiapo = librosa.load(akiapo)\n# audio_astfly, _ = librosa.effects.trim(y_astfly)\n\ny_aniani, sr_aniani = librosa.load(aniani)\n# audio_casvir, _ = librosa.effects.trim(y_casvir)\n\ny_apapan, sr_apapan = librosa.load(apapan)\n# audio_subfly, _ = librosa.effects.trim(y_subfly)\n\ny_barpet, sr_barpet = librosa.load(barpet)\n# audio_wilfly, _ = librosa.effects.trim(y_wilfly)\n\ny_skylar, sr_skylar = librosa.load(skylar)\n# audio_verdin, _ = librosa.effects.trim(y_verdin)\n\ny_houfin, sr_houfin = librosa.load(houfin)\n# audio_solsan, _ = librosa.effects.trim(y_solsan)","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:41.333160Z","iopub.execute_input":"2022-06-16T06:54:41.333802Z","iopub.status.idle":"2022-06-16T06:54:49.780805Z","shell.execute_reply.started":"2022-06-16T06:54:41.333759Z","shell.execute_reply":"2022-06-16T06:54:49.779690Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id='sec1'></a>\n<h1 style = \"font-size:50px;font-family: Comic Sans MS;text-align: center\">1.Time Domain Features</h1>","metadata":{}},{"cell_type":"markdown","source":"<h1 style = \"font-size:40px;font-family: Comic Sans MS;text-align: center;background-color:#800080;color:#FFFFFF\">Waveform Visualization</h1>\n\n<h4 style=\"Comic Sans MS\">To visualize the sampled signal and plot it, we need two Python libraries—Matplotlib and Librosa. The following code depicts the waveform visualization of the amplitude vs the time representation of the 6 signals.</h4>","metadata":{}},{"cell_type":"code","source":"fig, ax = plt.subplots(6, figsize = (16, 12))\nfig.suptitle('Sound Waves', fontsize=16)\n\nlibrosa.display.waveshow(y = y_akiapo, sr = sr_akiapo, color = \"#A300F9\", ax=ax[0])\nlibrosa.display.waveshow(y = y_aniani, sr = sr_aniani, color = \"#4300FF\", ax=ax[1])\nlibrosa.display.waveshow(y = y_apapan, sr = sr_apapan, color = \"#009DFF\", ax=ax[2])\nlibrosa.display.waveshow(y = y_barpet, sr = sr_barpet, color = \"#00FFB0\", ax=ax[3])\nlibrosa.display.waveshow(y = y_skylar, sr = sr_skylar, color = \"#D9FF00\", ax=ax[4])\nlibrosa.display.waveshow(y = y_houfin, sr = sr_houfin, color = \"r\", ax=ax[5]);\n\nfor i, name in zip(range(6), birds):\n    ax[i].set_ylabel(name, fontsize=13)","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:49.781912Z","iopub.execute_input":"2022-06-16T06:54:49.782269Z","iopub.status.idle":"2022-06-16T06:54:53.379016Z","shell.execute_reply.started":"2022-06-16T06:54:49.782227Z","shell.execute_reply":"2022-06-16T06:54:53.378000Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<h1 style = \"font-size:40px;font-family: Comic Sans MS;text-align: center;background-color:#800080;color:#FFFFFF\">ZERO CROSSING RATE(ZCR)</h1>\n\n<h4 style=\"Comic Sans MS\">The ZCR of an audio signal is defined as the rate at which the signal changes sign. ZCR is an efficient and simple way to detecting whether a speech frame is voice, unvoiced, or silent. It is expected that unvoiced segments produce higher ZCRs than for voice segments, and ideally ZCRs equal to zero for silence segments  \n</h4>","metadata":{}},{"cell_type":"markdown","source":"![zero.png](attachment:f9ebafe3-8772-42cf-934a-150c171db94c.png)","metadata":{},"attachments":{"f9ebafe3-8772-42cf-934a-150c171db94c.png":{"image/png":"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"}}},{"cell_type":"code","source":"# Total zero_crossings in our 1 song\nzero_astfly = librosa.zero_crossings(y_akiapo, pad=False)\nzero_casvir = librosa.zero_crossings(y_aniani, pad=False)\nzero_wilfly = librosa.zero_crossings(y_apapan, pad=False)\nzero_subfly = librosa.zero_crossings(y_barpet, pad=False)\nzero_verdin = librosa.zero_crossings(y_skylar, pad=False)\nzero_solsan = librosa.zero_crossings(y_houfin, pad=False)\nzero_birds_list = [zero_astfly, zero_casvir, zero_wilfly, zero_subfly, zero_verdin,zero_solsan]\n\nfor bird, name in zip(zero_birds_list, birds):\n    print(\"{} change rate is {:,}\".format(name, sum(bird)))","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:54:53.380141Z","iopub.execute_input":"2022-06-16T06:54:53.380493Z","iopub.status.idle":"2022-06-16T06:55:13.231157Z","shell.execute_reply.started":"2022-06-16T06:54:53.380462Z","shell.execute_reply":"2022-06-16T06:55:13.230378Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"markdown","source":"<a id='sec3'></a>\n<h1 style = \"font-size:50px;font-family: Comic Sans MS;text-align: center\">Spectrum Related Features</h1>","metadata":{}},{"cell_type":"markdown","source":"<h1 style = \"font-size:40px;font-family: Comic Sans MS;text-align: center;background-color:#800080;color:#FFFFFF\">SPECTRAL CENTROIDS</h1>\n\n<h4 style=\"Comic Sans MS\">The spectral centroid is a measure to characterize the \"center of mass\" of a given spectrum.The spectral centroid is calculated as the weighted means of the frequencies present in a given signal, determined using a Fourier transform, with the frequency magnitudes as the weights.Here S(k) is the spectral magnitude at frequency bin k, f(k) is the frequency at bin k.\n","metadata":{}},{"cell_type":"markdown","source":"![spectracl.png](attachment:ba74401d-e897-4fe9-8d76-889ea4fb8f29.png)","metadata":{},"attachments":{"ba74401d-e897-4fe9-8d76-889ea4fb8f29.png":{"image/png":"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"}}},{"cell_type":"code","source":"# Calculate the Spectral Centroids\nspectral_centroids = librosa.feature.spectral_centroid(y_akiapo, sr=sr_akiapo)[0]\n\n# Shape is a vector\nprint('Centroids:', spectral_centroids, '\\n')\nprint('Shape of Spectral Centroids:', spectral_centroids.shape, '\\n')\n\n# Computing the time variable for visualization\nframes = range(len(spectral_centroids))\n\n# Converts frame counts to time (seconds)\nt = librosa.frames_to_time(frames)\n\nprint('frames:', frames, '\\n')\nprint('t:', t)\n\n# Function that normalizes the Sound Data\ndef normalize(x, axis=0):\n    return sklearn.preprocessing.minmax_scale(x, axis=axis)\n#Plotting the Spectral Centroid along the waveform\nplt.figure(figsize = (16, 6))\nlibrosa.display.waveshow(y_akiapo, sr=sr_akiapo, alpha=0.4, color = '#A300F9', lw=3)\nplt.plot(t, normalize(spectral_centroids), color='#FFB100', lw=2)\nplt.legend([\"Spectral Centroid\", \"Wave\"])\nplt.title(\"Spectral Centroid: akiapo Bird\", fontsize=16);","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:55:13.232059Z","iopub.execute_input":"2022-06-16T06:55:13.232404Z","iopub.status.idle":"2022-06-16T06:55:13.702420Z","shell.execute_reply.started":"2022-06-16T06:55:13.232373Z","shell.execute_reply":"2022-06-16T06:55:13.701285Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n<h1 style = \"font-size:40px;font-family: Comic Sans MS;text-align: center;background-color:#800080;color:#FFFFFF\">SPECTRAL CONTRAST</h1>\n\n<h4 style=\"Comic Sans MS\">The difference between spectral peaks and spectral valleys will reflect the spectral contrast distribution.<br>Spectral peaks correspond to harmonic components and Spectral valleys correspond to non-harmonic components or noise in a music piece.It considers the spectral peak and valley in each sub-band separately.\n","metadata":{}},{"cell_type":"code","source":"contrast = librosa.feature.spectral_contrast(y=y_akiapo,sr=sr_akiapo)\nplt.figure(figsize=(15,5))\nlibrosa.display.specshow(contrast, x_axis='time')\nplt.colorbar()\nplt.ylabel('Frequency bands')\nplt.title('Spectral contrast')","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:55:13.703908Z","iopub.execute_input":"2022-06-16T06:55:13.704668Z","iopub.status.idle":"2022-06-16T06:55:13.996761Z","shell.execute_reply.started":"2022-06-16T06:55:13.704630Z","shell.execute_reply":"2022-06-16T06:55:13.995620Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n<h1 style = \"font-size:40px;font-family: Comic Sans MS;text-align: center;background-color:#800080;color:#FFFFFF\">SPECTRAL ROLLOFF</h1>\n\n<h4 style=\"Comic Sans MS\">Spectral rolloff point is defined as the Nth percentile frequency of the power spectral distribution, where  is usually 85% or 95%. The rolloff point is the frequency below which the N% of the magnitude distribution is concentrated. In other words,the rolloff frequency is defined as the frequency under which the cutoff of the total energy of the spectrum is contained, eg. 85%. It can be used to distinguish between harmonic and noisy sounds.","metadata":{}},{"cell_type":"code","source":"# Spectral RollOff Vector\nspectral_rolloff = librosa.feature.spectral_rolloff(y_akiapo, sr=sr_akiapo)[0]\n\n# Computing the time variable for visualization\nframes = range(len(spectral_rolloff))\n# Converts frame counts to time (seconds)\nt = librosa.frames_to_time(frames)\n\n# The plot\nplt.figure(figsize = (16, 6))\nlibrosa.display.waveshow(y_akiapo, sr=sr_akiapo, alpha=0.4, color = '#A300F9', lw=3)\nplt.plot(t, normalize(spectral_rolloff), color='#FFB100', lw=3)\nplt.legend([\"Spectral Rolloff\", \"Wave\"])\nplt.title(\"Spectral Rolloff: akiapo Bird\", fontsize=16);","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:55:13.998329Z","iopub.execute_input":"2022-06-16T06:55:13.998946Z","iopub.status.idle":"2022-06-16T06:55:14.453191Z","shell.execute_reply.started":"2022-06-16T06:55:13.998900Z","shell.execute_reply":"2022-06-16T06:55:14.452123Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n\n\n<h1 style = \"font-size:40px;font-family: Comic Sans MS;text-align: center;background-color:#800080;color:#FFFFFF\">Mel-frequency cepstral coefficients (MFCCs)</h1>\n\n<h4 style=\"Comic Sans MS\">One popular audio feature extraction method is the Mel-frequency cepstral coefficients (MFCC), which has 39 features. The feature count is small enough to force the model to learn the information of the audio. 12 parameters are related to the amplitude of frequencies. It models the characteristics of the human voice. The extraction flow of MFCC features is depicted below:","metadata":{}},{"cell_type":"markdown","source":"![mfcc.png](attachment:40d19ded-7c57-4daf-bbe8-0da20e6bbb51.png)","metadata":{},"attachments":{"40d19ded-7c57-4daf-bbe8-0da20e6bbb51.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"<h4 style=\"Comic Sans MS\">This feature is one of the most important method to extract a feature of an audio signal and is used majorly whenever working on audio signals. The mel frequency cepstral coefficients (MFCCs) of a signal are a small set of features (usually about 10–20) which concisely describe the overall shape of a spectral envelope.<br><br>By printing the shape of mfccs you get how many mfccs are calculated on how many frames. The first value represents the number of mfccs calculated and another value represents a number of frames available.\n","metadata":{}},{"cell_type":"code","source":"mfcc=librosa.feature.mfcc(y=y_akiapo, sr=sr_akiapo)\nfig, ax = plt.subplots(1,figsize = (12, 6))\nimg = librosa.display.specshow(mfcc, x_axis='time', ax=ax)\nprint(mfcc.shape)\nfig.colorbar(img, ax=ax)\nax.set(title='MFCC')","metadata":{"execution":{"iopub.status.busy":"2022-06-16T06:55:14.454721Z","iopub.execute_input":"2022-06-16T06:55:14.455699Z","iopub.status.idle":"2022-06-16T06:55:14.761919Z","shell.execute_reply.started":"2022-06-16T06:55:14.455665Z","shell.execute_reply":"2022-06-16T06:55:14.761231Z"},"trusted":true},"execution_count":null,"outputs":[]}]}