{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Decode speech\n\nThis example plots free recall accuracy for a single subject.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Code source: Contextual Dynamics Laboratory\n# License: MIT\n\n#import\nimport quail\n\n# decode speech\nrecall_data = quail.decode_speech('../data/sample.wav', save=True,\n speech_context=['DONKEY', 'PETUNIA'],\n keypath='path/to/key.json')\n\n# print results\nprint(recall_data)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12" } }, "nbformat": 4, "nbformat_minor": 0 }