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Selective Listening: Drown Out the Noise- Applications

Module by: Ricky Barrera, Jose Hernandez, Jon Stanley, Jake Poteet. E-mail the authors

Summary: Some possible real world applications of source isolation and our results.

Applications

Given our results for the STFICA, we are confident that with more knowledge of the prewhitening stage we could effectively separate sources from far more complicated signals such as voice, music, noise, etc. Our original goal was to utilize the FastICA to separate voice from music and improve speech recognition. That is feasible if recording the live audio, but it seems ill-posed if attempted from music files and speakers. There are, however, many other potential avenues such as:

  • Effective noise filtering
  • Speech recognition improvement
  • EKG noise removal
  • Surveillance
  • Acoustic source separation

For the FastICA, though not effective in acoustic environments, there are applications that it is well-suited for such as:

  • Digital image separation
  • Digital music separation

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Definition of a lens

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A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

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