DIA

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* performance error will be calculated with respect to user-provided midis of arrangements
* performance error will be calculated with respect to user-provided midis of arrangements
* pitch information will be determined by implementing a version of the YIN pitch detection algorithm  
* pitch information will be determined by implementing a version of the YIN pitch detection algorithm  
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* tonal/vowel information be provided by fft visualizations
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* tonal/vowel information will be provided by fft visualizations
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== Testing ==
== Testing ==

Revision as of 16:20, 11 November 2009

Contents

DIA: Do It A Cappella

Idea / Premise

  • a visual feedback system for a cappella singers to use alone or together as an ensemble
  • a learning tool to train the voice and the ears


Motivation

  • a large population of amateur a cappella singers who lack the necessary ear training to effectively self-correct
  • the need for an objective method of performance evaluation to eliminate confusion over "who's hearing it right"
  • a desire to explore basic real-time audio information retrieval techniques


What is DIA?

  • an application for the real-time visualization of musical properties of one or more singers
  • a network application allowing multiple singers to use laptops to see personalized visualizations provided by a host computer
  • a vocal training application providing both real-time visualization of error and post-performance reports of achievement statistics
  • a music learning tool for people who can't read music


Design

  • audio input will all be into one host computer
  • networked client computers will be able to receive channel-specific customized visualizations via OSC
  • performance error will be calculated with respect to user-provided midis of arrangements
  • pitch information will be determined by implementing a version of the YIN pitch detection algorithm
  • tonal/vowel information will be provided by fft visualizations

Testing

  • the harmonics, a stanford a cappella group, will be able to put DIA through comprehensive, rigorous testing
  • effectiveness of execution will be judged based on the final product's ability to provide accurate and useful visual feedback to the user


Team

  • the DIA team is comprised of charlie forkish and jay bhat


Milestones

  • DATE 1: 11/15 - accurate and robust implementation of YIN pitch detection algorithm with one input and playback of midi files
  • DATE 2: 11/25 - support for multiple inputs, polished visual feedback provided to client computers over network
  • DATE 3: 12/4 - tone evaluation and achievement statistics report card
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