Difference between revisions of "DIA"

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(Team)
(Milestones)
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   - Jay Bhat
 
   - Jay Bhat
  
== Milestones ==
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== Milestones (Revised) ==
 
* DATE 1: 11/15 - accurate and robust implementation of YIN pitch detection algorithm with one input and playback of midi files
 
* 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
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* DATE 2: 12/4 - support for multiple inputs and polished visual feedback
* DATE 3:  12/4 - tone evaluation and achievement statistics report card
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* DATE 3:  12/10 - distribution to multiple client computers over network and statistics report

Revision as of 09:25, 10 December 2009

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
 - Charlie Forkish
 - Jay Bhat

Milestones (Revised)

  • DATE 1: 11/15 - accurate and robust implementation of YIN pitch detection algorithm with one input and playback of midi files
  • DATE 2: 12/4 - support for multiple inputs and polished visual feedback
  • DATE 3: 12/10 - distribution to multiple client computers over network and statistics report