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Commit e9e1a7dc authored by Steve Tjoa's avatar Steve Tjoa
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onset-based segmentation

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index.html
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......@@ -11873,7 +11873,7 @@ div#notebook {
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Machine-Learning">Machine Learning<a class="anchor-link" href="#Machine-Learning">&#194;&#182;</a></h2>
<h2 id="Rhythm,-Tempo,-and-Beat-Tracking">Rhythm, Tempo, and Beat Tracking<a class="anchor-link" href="#Rhythm,-Tempo,-and-Beat-Tracking">&#194;&#182;</a></h2>
</div>
</div>
</div>
......@@ -11882,15 +11882,14 @@ div#notebook {
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<ol>
<li><a href="knn.html">K-Nearest Neighbor Classification</a> (<a href="knn.ipynb">ipynb</a>)</li>
<li><a href="cross_validation.html">Cross Validation</a> (<a href="cross_validation.ipynb">ipynb</a>)</li>
<li><a href="knn_instrument_classification.html">Exercise: K-Nearest Neighbor Instrument Classification</a> (<a href="knn_instrument_classification.ipynb">ipynb</a>)</li>
<li><a href="kmeans.html">K-Means Clustering</a> (<a href="kmeans.ipynb">ipynb</a>)</li>
<li><a href="kmeans_instrument_classification.html">Exercise: Unsupervised Instrument Classification using K-Means</a> (<a href="kmeans_instrument_classification.ipynb">ipynb</a>)</li>
<li><a href="neural_networks.html">Neural Networks</a> (<a href="neural_networks.ipynb">ipynb</a>)</li>
<li><a href="evaluation.html">Evaluation</a> (<a href="evaluation.ipynb">ipynb</a>)</li>
<li><a href="genre_recognition.html">Genre Recognition</a> (<a href="genre_recognition.ipynb">ipynb</a>)</li>
<li><a href="exercise_genre_recognition.html">Exercise: Genre Recognition</a> (<a href="exercise_genre_recognition.ipynb">ipynb</a>)</li>
<li><a href="novelty_functions.html">Novelty Functions</a> (<a href="novelty_functions.ipynb">ipynb</a>)</li>
<li><a href="peak_picking.html">Peak Picking</a> (<a href="peak_picking.ipynb">ipynb</a>)</li>
<li><a href="onset_detection.html">Onset Detection</a> (<a href="onset_detection.ipynb">ipynb</a>)</li>
<li><a href="onset_segmentation.html">Onset-based Segmentation with Backtracking</a> (<a href="onset_segmentation.ipynb">ipynb</a>)</li>
<li><a href="tempo_estimation.html">Tempo Estimation</a> (<a href="tempo_estimation.ipynb">ipynb</a>)</li>
<li><a href="autocorrelation.html">Autocorrelation</a> (<a href="autocorrelation.ipynb">ipynb</a>)</li>
<li><a href="beat_tracking.html">Beat Tracking</a> (<a href="beat_tracking.ipynb">ipynb</a>)</li>
<li><a href="adtlib.html">Drum Transcription using ADTLib</a> (<a href="adtlib.ipynb">ipynb</a>)</li>
</ol>
</div>
......@@ -11900,7 +11899,7 @@ div#notebook {
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Music-Synchronization">Music Synchronization<a class="anchor-link" href="#Music-Synchronization">&#194;&#182;</a></h2>
<h2 id="Machine-Learning">Machine Learning<a class="anchor-link" href="#Machine-Learning">&#194;&#182;</a></h2>
</div>
</div>
</div>
......@@ -11909,7 +11908,15 @@ div#notebook {
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<ol>
<li><a href="dtw.html">Dynamic Time Warping</a> (<a href="dtw.ipynb">ipynb</a>)</li>
<li><a href="knn.html">K-Nearest Neighbor Classification</a> (<a href="knn.ipynb">ipynb</a>)</li>
<li><a href="cross_validation.html">Cross Validation</a> (<a href="cross_validation.ipynb">ipynb</a>)</li>
<li><a href="knn_instrument_classification.html">Exercise: K-Nearest Neighbor Instrument Classification</a> (<a href="knn_instrument_classification.ipynb">ipynb</a>)</li>
<li><a href="kmeans.html">K-Means Clustering</a> (<a href="kmeans.ipynb">ipynb</a>)</li>
<li><a href="kmeans_instrument_classification.html">Exercise: Unsupervised Instrument Classification using K-Means</a> (<a href="kmeans_instrument_classification.ipynb">ipynb</a>)</li>
<li><a href="neural_networks.html">Neural Networks</a> (<a href="neural_networks.ipynb">ipynb</a>)</li>
<li><a href="evaluation.html">Evaluation</a> (<a href="evaluation.ipynb">ipynb</a>)</li>
<li><a href="genre_recognition.html">Genre Recognition</a> (<a href="genre_recognition.ipynb">ipynb</a>)</li>
<li><a href="exercise_genre_recognition.html">Exercise: Genre Recognition</a> (<a href="exercise_genre_recognition.ipynb">ipynb</a>)</li>
</ol>
</div>
......@@ -11919,7 +11926,7 @@ div#notebook {
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Music-Structure-Analysis">Music Structure Analysis<a class="anchor-link" href="#Music-Structure-Analysis">&#194;&#182;</a></h2>
<h2 id="Music-Synchronization">Music Synchronization<a class="anchor-link" href="#Music-Synchronization">&#194;&#182;</a></h2>
</div>
</div>
</div>
......@@ -11928,7 +11935,7 @@ div#notebook {
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<ol>
<li><a href="mfcc.html">Mel-Frequency Cepstral Coefficients</a> (<a href="mfcc.ipynb">ipynb</a>)</li>
<li><a href="dtw.html">Dynamic Time Warping</a> (<a href="dtw.ipynb">ipynb</a>)</li>
</ol>
</div>
......@@ -11938,7 +11945,7 @@ div#notebook {
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Rhythm,-Tempo,-and-Beat-Tracking">Rhythm, Tempo, and Beat Tracking<a class="anchor-link" href="#Rhythm,-Tempo,-and-Beat-Tracking">&#194;&#182;</a></h2>
<h2 id="Music-Structure-Analysis">Music Structure Analysis<a class="anchor-link" href="#Music-Structure-Analysis">&#194;&#182;</a></h2>
</div>
</div>
</div>
......@@ -11947,13 +11954,7 @@ div#notebook {
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<ol>
<li><a href="novelty_functions.html">Novelty Functions</a> (<a href="novelty_functions.ipynb">ipynb</a>)</li>
<li><a href="peak_picking.html">Peak Picking</a> (<a href="peak_picking.ipynb">ipynb</a>)</li>
<li><a href="onset_detection.html">Onset Detection</a> (<a href="onset_detection.ipynb">ipynb</a>)</li>
<li><a href="tempo_estimation.html">Tempo Estimation</a> (<a href="tempo_estimation.ipynb">ipynb</a>)</li>
<li><a href="autocorrelation.html">Autocorrelation</a> (<a href="autocorrelation.ipynb">ipynb</a>)</li>
<li><a href="beat_tracking.html">Beat Tracking</a> (<a href="beat_tracking.ipynb">ipynb</a>)</li>
<li><a href="adtlib.html">Drum Transcription using ADTLib</a> (<a href="adtlib.ipynb">ipynb</a>)</li>
<li><a href="mfcc.html">Mel-Frequency Cepstral Coefficients</a> (<a href="mfcc.ipynb">ipynb</a>)</li>
</ol>
</div>
......
index.ipynb
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......@@ -78,6 +78,27 @@
"1. [Pitch Transcription Exercise](pitch_transcription_exercise.html) ([ipynb](pitch_transcription_exercise.ipynb))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rhythm, Tempo, and Beat Tracking"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"1. [Novelty Functions](novelty_functions.html) ([ipynb](novelty_functions.ipynb))\n",
"1. [Peak Picking](peak_picking.html) ([ipynb](peak_picking.ipynb))\n",
"1. [Onset Detection](onset_detection.html) ([ipynb](onset_detection.ipynb))\n",
"1. [Onset-based Segmentation with Backtracking](onset_segmentation.html) ([ipynb](onset_segmentation.ipynb))\n",
"1. [Tempo Estimation](tempo_estimation.html) ([ipynb](tempo_estimation.ipynb))\n",
"1. [Autocorrelation](autocorrelation.html) ([ipynb](autocorrelation.ipynb))\n",
"1. [Beat Tracking](beat_tracking.html) ([ipynb](beat_tracking.ipynb))\n",
"1. [Drum Transcription using ADTLib](adtlib.html) ([ipynb](adtlib.ipynb))"
]
},
{
"cell_type": "markdown",
"metadata": {},
......@@ -128,26 +149,6 @@
"1. [Mel-Frequency Cepstral Coefficients](mfcc.html) ([ipynb](mfcc.ipynb))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rhythm, Tempo, and Beat Tracking"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"1. [Novelty Functions](novelty_functions.html) ([ipynb](novelty_functions.ipynb))\n",
"1. [Peak Picking](peak_picking.html) ([ipynb](peak_picking.ipynb))\n",
"1. [Onset Detection](onset_detection.html) ([ipynb](onset_detection.ipynb))\n",
"1. [Tempo Estimation](tempo_estimation.html) ([ipynb](tempo_estimation.ipynb))\n",
"1. [Autocorrelation](autocorrelation.html) ([ipynb](autocorrelation.ipynb))\n",
"1. [Beat Tracking](beat_tracking.html) ([ipynb](beat_tracking.ipynb))\n",
"1. [Drum Transcription using ADTLib](adtlib.html) ([ipynb](adtlib.ipynb))"
]
},
{
"cell_type": "markdown",
"metadata": {},
......
onset_detection.html
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onset_detection.ipynb
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onset_segmentation.html 0 → 100644
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onset_segmentation.ipynb 0 → 100644
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