{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy, scipy, IPython.display as ipd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[← Back to Index](index.html)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Why Music Information Retrieval?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "While you listen to these excerpts, name as many of its musical characteristics as you can:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.YouTubeVideo(\"ajCYQL8ouqw\") )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "([Chords](http://chordify.net/chords/beatles-let-it-be-hippiegirl34))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.YouTubeVideo(\"PrVu9WKs498\", start=8) )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One more:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.YouTubeVideo(\"Cxj8vSS2ELU\", start=540) )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Why MIR?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- discover, organize, monetize media collections\n", "- search (\"find me something that sounds like this\")\n", " - songs, loops, speech, environmental sounds, sound effects\n", "- workflows\tin consumer products through machine hearing\n", "- automatic control of software and mobile devices" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## What is MIR?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- fingerprinting\n", "- cover song detection\n", "- genre recognition\n", "- transcription\n", "- recommendation\n", "- symbolic melodic similarity\n", "- mood\n", "- source separation\n", "- instrument recognition \n", "- pitch tracking\n", "- tempo estimation\n", "- score alignment\n", "- song structure/form\n", "- beat tracking\n", "- key detection\n", "- query by humming" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Commercial Applications" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Example: [RiffStation](http://www.riffstation.com/)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.YouTubeVideo(\"ECvinPjmBVE\", start=6) )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Example: [Melodyne](http://www.celemony.com/en/start)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.YouTubeVideo(\"DiW6XVFeFgo\", start=60))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Example: [Auto-Tune](http://www.antarestech.com/)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.YouTubeVideo(\"YDjsoZKlG04\", start=155))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Example: Key Detection and Auto-harmonization with [iZotope Nectar 2](https://www.izotope.com/nectar2)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.YouTubeVideo(\"TG-ivjyyYhM\", start=35))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Example: [Humtap](http://www.humtap.com)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ipd.display( ipd.VimeoVideo(\"96140435\") )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[← Back to Index](index.html)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 0 }