{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Audio Feature Extractions\n\n``torchaudio`` implements feature extractions commonly used in the audio\ndomain. They are available in ``torchaudio.functional`` and\n``torchaudio.transforms``.\n\n``functional`` implements features as standalone functions.\nThey are stateless.\n\n``transforms`` implements features as objects,\nusing implementations from ``functional`` and ``torch.nn.Module``.\nThey can be serialized using TorchScript.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import torch\nimport torchaudio\nimport torchaudio.functional as F\nimport torchaudio.transforms as T\n\nprint(torch.__version__)\nprint(torchaudio.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Preparation\n\n
When running this tutorial in Google Colab, install the required packages\n\n .. code::\n\n !pip install librosa