{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Sound Analysis with the Fourier Transform and Python\n", "\n", "### Link to repo: http://tinyurl.com/fourierpython\n", "\n", "## Intro\n", "\n", "\n", "1. Welcome\n", "2. Format of talk\n", " - Everything is in iPython Notebook (on Github)\n", " - You don't need to take notes\n", " - Please save questions for the end\n", "3. Why this is interesting\n", " - Sound processing is big - natural human-machine interfaces (e.g. Siri)\n", " - Noise reduction, Compression, feature extraction (e.g. speech)\n", " - Understanding our universe better (Superposition, Harmonics, Sound timbre)\n", "\n", "---\n", "\n", "## Overview\n", "\n", "* The Nature of Waves\n", "* The Fourier Transform\n", "* Fast Fourier Transform (FFT) in Python\n", "* Audio analysis\n" ] } ], "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": "3.5.1" } }, "nbformat": 4, "nbformat_minor": 0 }