Sample Level Modulation of Musical Timeline

Mingfeng Zhang
Dept. of Electrical and Computer Engineering, University of Rochester

In this toolbox we provide signal processing tools to allocate music events (samples of musical notes) to specified time locations with sample level accuracy. In this implementation, we use computational tools to add in micro-timing variations in J.S. Bach four-part chorales as a "visualizer" for big data. By extracting data patterns from multiple time scales, we implement a tool that musicians can perform the big data at different resolutions.

This toolbox will need the following supporting toolboxes:

MIDI TOOLBOX
https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/miditoolbox

MIR TOOLBOX
https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox

Please add the path in MATLAB for these two toolbox.

Please also read the project document file (readme.doc/pdf) for more details

Features

  • audio signal processing
  • musical timing
  • musical performances

Project Samples

Project Activity

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Categories

Sound/Audio, Big Data

License

Creative Commons Attribution License

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Sample Level Musical Timeline Web Site

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Additional Project Details

Registered

2015-07-02