Difference between revisions of "MIR workshop 2008 notes"

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(Timing and Segmentation =)
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I encourage you to ADD links and sections - but please do not REMOVE headings or items from the page.
 
I encourage you to ADD links and sections - but please do not REMOVE headings or items from the page.
  
== Timing and Segmentation ===  
+
== Timing and Segmentation ==  
 
=== Onset Detection ===  
 
=== Onset Detection ===  
 
==== Papers ====
 
==== Papers ====
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==== Papers ====
 
==== Papers ====
 
==== Code ====
 
==== Code ====
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 +
== Feature Extraction ==
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== Low Level Features ==
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=== Zero Crossing, Temporal centroid, Log Attack time, Attack slope), Spectral features (Centroid, Flux, RMS, Rolloff, Flatness, Kurtosis, Brightness),Spectral bands, Log spectrogram ===
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=== Chroma bins ===
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=== MFCC ===
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=== MPEG-7 ===
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== Higher-level features ==
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=== Key Estimation ===
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=== Chord Estimation ===
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=== Genre (genre, artist ID, similarity) ===
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=== "Fingerprints" ===

Revision as of 10:19, 1 August 2008

This page is intended to supplement the lecture material found in the class - providing extra tutorials, support, references for further reading, or demonstration code snippets for those interested in a given topic. Please contribute to this growing list of resources. Do you have a great explanation of how a technique works? Found a great Java applet that illustrates a concept? Discovered a great survey of the field for a particular area? Please add it for the benefit of future students. Thanks!

I encourage you to ADD links and sections - but please do not REMOVE headings or items from the page.

Timing and Segmentation

Onset Detection

Papers

Code

Beat Extraction

Papers

Code

Tempo Extraction

Papers

Code

Feature Extraction

Low Level Features

Zero Crossing, Temporal centroid, Log Attack time, Attack slope), Spectral features (Centroid, Flux, RMS, Rolloff, Flatness, Kurtosis, Brightness),Spectral bands, Log spectrogram

Chroma bins

MFCC

MPEG-7

Higher-level features

Key Estimation

Chord Estimation

Genre (genre, artist ID, similarity)

"Fingerprints"