<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/">Prof. Blair Kaneshiro</a></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">Prof. Eran Egozy</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>
<li>Harvard University, Freshman Seminar 24e: The Physics and Applied Physics Freshman Research Laboratory</li>
<li>Harvard University, Freshman Seminar 24e: The Physics and Applied Physics Freshman Research Laboratory</li>
<p>The book <ahref="https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP"><em>Fundamentals of Music Processing</em></a> (FMP) is a textbook by <ahref="https://www.audiolabs-erlangen.de/fau/professor/mueller">Meinard Müller</a>, a well-known and prolific researcher in MIR, and published by Springer in 2015.</p>
<p>The book <ahref="https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP"><em>Fundamentals of Music Processing</em></a> (FMP) is a textbook by <ahref="https://www.audiolabs-erlangen.de/fau/professor/mueller">Meinard Müller</a>, a well-known and prolific researcher in MIR, and published by Springer in 2015.</p>
<p>For many years, the field of music information retrieval has suffered from a lack of consolidated texts which unify its many disparate topics. Until now, students and researchers have had to learn about MIR mostly by reading the original research papers -- a daunting task. FMP is perhaps the best attempt to address this issue. It is a self-contained textbook which covers many MIR tasks such as feature extraction, audio-to-score alignment, musical form and structure, chord recognition, beat tracking, fingerprinting, and source separation.</p>
<p>For many years, the field of music information retrieval has suffered from a lack of consolidated texts which unify its many disparate topics. Until now, students and researchers have had to learn about MIR mostly by reading the original research papers -- a daunting task. FMP is perhaps the best attempt to address this issue. It is a self-contained textbook which covers many MIR tasks such as feature extraction, audio-to-score alignment, musical form and structure, chord recognition, beat tracking, fingerprinting, and source separation.</p>
<p>We are integrating content from FMP into musicinformationretrieval.com in 2016.</p>
<p>We integrated content from FMP into musicinformationretrieval.com in 2016.</p>
</div>
</div>
</div>
</div>
...
@@ -11953,6 +11985,7 @@ $(function() {
...
@@ -11953,6 +11985,7 @@ $(function() {
<li><ahref="https://ccrma.stanford.edu/wiki/MIR_workshop_2014">2014</a>: Jay LeBoeuf, Leigh Smith, Steve Tjoa</li>
<li><ahref="https://ccrma.stanford.edu/wiki/MIR_workshop_2014">2014</a>: Jay LeBoeuf, Leigh Smith, Steve Tjoa</li>
<li>2015: Jay LeBoeuf, Leigh Smith, Steve Tjoa</li>
<li>2015: Jay LeBoeuf, Leigh Smith, Steve Tjoa</li>
<li><ahref="https://docs.google.com/document/d/1YpuvCxKHUsqbbqEA_0XB_5-jH3e47v0azO1sn_iVV1k/edit?usp=sharing">2016</a>: Steve Tjoa, Jeff Scott</li>
<li><ahref="https://docs.google.com/document/d/1YpuvCxKHUsqbbqEA_0XB_5-jH3e47v0azO1sn_iVV1k/edit?usp=sharing">2016</a>: Steve Tjoa, Jeff Scott</li>
<li>2017: Steve Tjoa, Jeff Scott (<ahref="https://ccrma.stanford.edu/workshops/music-information-retrieval-2017">Register today!</a>)</li>
"**musicinformationretrieval.com** is a collection of instructional materials for music information retrieval (MIR). These materials contain a mix of casual conversation, technical discussion, and Python code. \n",
"**musicinformationretrieval.com** is a collection of instructional materials for music information retrieval (MIR). These materials contain a mix of casual conversation, technical discussion, and Python code. \n",
"\n",
"\n",
...
@@ -85,24 +96,34 @@
...
@@ -85,24 +96,34 @@
},
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"source": [
"## People who use this site"
"## People who use this site"
]
]
},
},
{
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"source": [
"- Haverford College\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/), [Prof. Blair Kaneshiro](https://ccrma.stanford.edu/~blairbo/)\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), [Prof. Eran Egozy](http://mta.mit.edu/person/eran-egozy)\n",
"- MIT, [21M.359: Fundamentals of Music Processing](http://musictech.mit.edu/fmp), [Eran Egozy](http://mta.mit.edu/person/eran-egozy)\n",
"- Harvard University, Freshman Seminar 24e: The Physics and Applied Physics Freshman Research Laboratory"
"- Harvard University, Freshman Seminar 24e: The Physics and Applied Physics Freshman Research Laboratory\n",
"The book [*Fundamentals of Music Processing*](https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP) (FMP) is a textbook by [Meinard Müller](https://www.audiolabs-erlangen.de/fau/professor/mueller), a well-known and prolific researcher in MIR, and published by Springer in 2015.\n",
"The book [*Fundamentals of Music Processing*](https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP) (FMP) is a textbook by [Meinard Müller](https://www.audiolabs-erlangen.de/fau/professor/mueller), a well-known and prolific researcher in MIR, and published by Springer in 2015.\n",
"\n",
"\n",
"For many years, the field of music information retrieval has suffered from a lack of consolidated texts which unify its many disparate topics. Until now, students and researchers have had to learn about MIR mostly by reading the original research papers -- a daunting task. FMP is perhaps the best attempt to address this issue. It is a self-contained textbook which covers many MIR tasks such as feature extraction, audio-to-score alignment, musical form and structure, chord recognition, beat tracking, fingerprinting, and source separation.\n",
"For many years, the field of music information retrieval has suffered from a lack of consolidated texts which unify its many disparate topics. Until now, students and researchers have had to learn about MIR mostly by reading the original research papers -- a daunting task. FMP is perhaps the best attempt to address this issue. It is a self-contained textbook which covers many MIR tasks such as feature extraction, audio-to-score alignment, musical form and structure, chord recognition, beat tracking, fingerprinting, and source separation.\n",
"\n",
"\n",
"We are integrating content from FMP into musicinformationretrieval.com in 2016."
"We integrated content from FMP into musicinformationretrieval.com in 2016."
]
]
},
},
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"source": [
"## About the CCRMA Workshop on Music Information Retrieval"
"## About the CCRMA Workshop on Music Information Retrieval"
]
]
},
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"The MIR workshop teaches the underlying ideas, approaches, technologies, and practical design of intelligent audio systems using MIR algorithms. It lasts five full days, Monday through Friday. It was founded by [Jay LeBoeuf](https://www.linkedin.com/in/jayleboeuf) (Real Industry, CCRMA consulting professor) in 2008.\n",
"The MIR workshop teaches the underlying ideas, approaches, technologies, and practical design of intelligent audio systems using MIR algorithms. It lasts five full days, Monday through Friday. It was founded by [Jay LeBoeuf](https://www.linkedin.com/in/jayleboeuf) (Real Industry, CCRMA consulting professor) in 2008.\n",
"\n",
"\n",
...
@@ -151,21 +182,30 @@
...
@@ -151,21 +182,30 @@
},
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"### Instructors"
"### Instructors"
]
]
},
},
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"Links redirect to that year's wiki page."
"Links redirect to that year's wiki page."
]
]
},
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"- [2008](https://ccrma.stanford.edu/wiki/MIR_workshop_2008): Jay LeBoeuf\n",
"- [2008](https://ccrma.stanford.edu/wiki/MIR_workshop_2008): Jay LeBoeuf\n",
"- [2009](https://ccrma.stanford.edu/wiki/MIR_workshop_2009): Jay LeBoeuf, Kyogu Lee\n",
"- [2009](https://ccrma.stanford.edu/wiki/MIR_workshop_2009): Jay LeBoeuf, Kyogu Lee\n",
...
@@ -175,19 +215,26 @@
...
@@ -175,19 +215,26 @@
"- [2013](https://ccrma.stanford.edu/wiki/MIR_workshop_2013): Jay LeBoeuf, Leigh Smith, Steve Tjoa\n",
"- [2013](https://ccrma.stanford.edu/wiki/MIR_workshop_2013): Jay LeBoeuf, Leigh Smith, Steve Tjoa\n",
"- [2014](https://ccrma.stanford.edu/wiki/MIR_workshop_2014): Jay LeBoeuf, Leigh Smith, Steve Tjoa\n",
"- [2014](https://ccrma.stanford.edu/wiki/MIR_workshop_2014): Jay LeBoeuf, Leigh Smith, Steve Tjoa\n",
"- 2015: Jay LeBoeuf, Leigh Smith, Steve Tjoa\n",
"- 2015: Jay LeBoeuf, Leigh Smith, Steve Tjoa\n",
"- [2016](https://docs.google.com/document/d/1YpuvCxKHUsqbbqEA_0XB_5-jH3e47v0azO1sn_iVV1k/edit?usp=sharing): Steve Tjoa, Jeff Scott"
"- [2016](https://docs.google.com/document/d/1YpuvCxKHUsqbbqEA_0XB_5-jH3e47v0azO1sn_iVV1k/edit?usp=sharing): Steve Tjoa, Jeff Scott\n",
"- 2017: Steve Tjoa, Jeff Scott ([Register today!](https://ccrma.stanford.edu/workshops/music-information-retrieval-2017))"
]
]
},
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"### Guest Lecturers"
"### Guest Lecturers"
]
]
},
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"- 2011: Rebecca Fiebrink, Doug Eck, George Tzanetakis\n",
"- 2011: Rebecca Fiebrink, Doug Eck, George Tzanetakis\n",
"- 2012: Oscar Celma, Michael Mandel\n",
"- 2012: Oscar Celma, Michael Mandel\n",
...
@@ -199,14 +246,20 @@
...
@@ -199,14 +246,20 @@
},
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"### Alumni"
"### Alumni"
]
]
},
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"- 2008:\n",
"- 2008:\n",
"- 2009 [[full list](https://ccrma.stanford.edu/wiki/MIR_workshop_2009/Participants)]: Luke Dahl, Mike Gao, Craig Hanson, Jorge Herrera, Denis Lebel, Sang Won Lee, Gautham Mysore, Jeremy Sawruk, Hwan Shim, Diana Siwiak, Steve Tjoa, Elie Noune, James Hughes, Stefan Tomic, Lisa Lim, Fred Barrett\n",
"- 2009 [[full list](https://ccrma.stanford.edu/wiki/MIR_workshop_2009/Participants)]: Luke Dahl, Mike Gao, Craig Hanson, Jorge Herrera, Denis Lebel, Sang Won Lee, Gautham Mysore, Jeremy Sawruk, Hwan Shim, Diana Siwiak, Steve Tjoa, Elie Noune, James Hughes, Stefan Tomic, Lisa Lim, Fred Barrett\n",
