<li>International Audio Laboratories Erlangen, <ahref="https://www.audiolabs-erlangen.de/fau/professor/mueller">Meinard Müller</a> (author, <ahref="www.music-processing.de">Fundamentals of Music Processing</a>, Springer, 2015)</li>
<li>San Jose State University, CS185C - Topics on Music Information Retrieval, Vidya Rangasayee</li>
<li>Stanford University, <ahref="https://ccrma.stanford.edu/courses/364/">Music 364: Data-Driven Research in Music Cognition</a>, <ahref="https://ccrma.stanford.edu/~blairbo/">Blair Kaneshiro</a></li>
<li>MIT, <ahref="http://musictech.mit.edu/fmp">21M.359: Fundamentals of Music Processing</a>, <ahref="http://mta.mit.edu/person/eran-egozy">Eran Egozy</a></li>
"- International Audio Laboratories Erlangen, [Meinard Müller](https://www.audiolabs-erlangen.de/fau/professor/mueller) (author, [Fundamentals of Music Processing](www.music-processing.de), Springer, 2015)\n",
"- San Jose State University, CS185C - Topics on Music Information Retrieval, Vidya Rangasayee\n",
"- Stanford University, [Music 364: Data-Driven Research in Music Cognition](https://ccrma.stanford.edu/courses/364/), [Blair Kaneshiro](https://ccrma.stanford.edu/~blairbo/)\n",
"- MIT, [21M.359: Fundamentals of Music Processing](http://musictech.mit.edu/fmp), [Eran Egozy](http://mta.mit.edu/person/eran-egozy)\n",
<p>Well, that's a big question. Two primary areas in music analysis include tonal analysis (e.g. melody and harmony) and rhythm and tempo (e.g. beat tracking). Here are some great overviews by <ahref="https://www.audiolabs-erlangen.de/fau/professor/mueller">Meinard Müller</a> (author, <ahref="https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP">FMP</a>) on both topics.</p>
"<IPython.lib.display.YouTubeVideo at 0x111216910>"
"<IPython.lib.display.YouTubeVideo at 0x10eb0b750>"
]
},
"metadata": {},
...
...
@@ -86,6 +96,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "skip"
}
...
...
@@ -99,6 +111,8 @@
"execution_count": 3,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -119,7 +133,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.YouTubeVideo at 0x11169e950>"
"<IPython.lib.display.YouTubeVideo at 0x10ec54a90>"
]
},
"metadata": {},
...
...
@@ -133,6 +147,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "skip"
}
...
...
@@ -146,6 +162,8 @@
"execution_count": 4,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -166,7 +184,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.YouTubeVideo at 0x11169e090>"
"<IPython.lib.display.YouTubeVideo at 0x10eb0b310>"
]
},
"metadata": {},
...
...
@@ -180,6 +198,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -191,6 +211,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "subslide"
}
...
...
@@ -219,6 +241,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -230,6 +254,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "subslide"
}
...
...
@@ -244,17 +270,21 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Commercial Applications"
"### Commercial Applications"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -268,6 +298,8 @@
"execution_count": 5,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "fragment"
}
...
...
@@ -288,7 +320,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.YouTubeVideo at 0x11169e090>"
"<IPython.lib.display.YouTubeVideo at 0x10eb0b410>"
]
},
"metadata": {},
...
...
@@ -302,6 +334,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -315,6 +349,8 @@
"execution_count": 6,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "fragment"
}
...
...
@@ -335,7 +371,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.YouTubeVideo at 0x11169eb50>"
"<IPython.lib.display.YouTubeVideo at 0x10eb0b410>"
]
},
"metadata": {},
...
...
@@ -349,6 +385,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -362,6 +400,8 @@
"execution_count": 7,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "fragment"
}
...
...
@@ -382,7 +422,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.YouTubeVideo at 0x11169ec10>"
"<IPython.lib.display.YouTubeVideo at 0x10eb0b8d0>"
]
},
"metadata": {},
...
...
@@ -396,6 +436,8 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "slide"
}
...
...
@@ -409,6 +451,8 @@
"execution_count": 8,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"slideshow": {
"slide_type": "fragment"
}
...
...
@@ -429,7 +473,7 @@
" "
],
"text/plain": [
"<IPython.lib.display.YouTubeVideo at 0x11169ec50>"
"<IPython.lib.display.YouTubeVideo at 0x10eaf0750>"
]
},
"metadata": {},
...
...
@@ -443,6 +487,124 @@
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## How is MIR done?"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Well, that's a big question. Two primary areas in music analysis include tonal analysis (e.g. melody and harmony) and rhythm and tempo (e.g. beat tracking). Here are some great overviews by [Meinard Müller](https://www.audiolabs-erlangen.de/fau/professor/mueller) (author, [FMP](https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP)) on both topics."
