{"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)\nimport librosa # Audio processing\n\ndata = librosa.load('/kaggle/input/birdclef-2022/train_audio/mitpar/XC139506.ogg')\nlibrosa.feature.mfcc(y = data[0])","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-02-16T15:17:48.510292Z","iopub.execute_input":"2022-02-16T15:17:48.510684Z","iopub.status.idle":"2022-02-16T15:17:49.037763Z","shell.execute_reply.started":"2022-02-16T15:17:48.510648Z","shell.execute_reply":"2022-02-16T15:17:49.036684Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}