Audio Signal Separation Using Blind Source Separation Techniques

Abstract

Techniques developed so far are based on: 1. Constant modulus algorithm (CMA), Independent component analysis (ICA), polyspectra and time-frequency. Examples of ICA (Frequency domain - JADE ICA): JADE-ICA on Each Frequency Bin With Port Deswapping and Normalization, Spectrograms of Speech Signal Mixtures, ICA-Separated Frequency Components, Inverse Spectrogram Transform, Separated Speech Signals, 16-tap random channel and cross-channel filters and mixing matrix.

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Document Details

Document Type
Technical Report
Publication Date
Aug 24, 1999
Accession Number
ADA513001

Entities

People

  • Shubha Kadambe
  • Yuri Owechko

Organizations

  • HRL Laboratories

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Ambient Noise
  • Automated Speech Recognition
  • Channel Models
  • Frequency
  • Frequency Domain
  • Information Operations
  • Information Science
  • Instructions
  • Microsensors
  • Noise
  • Recognition
  • Standards
  • Workshops

Fields of Study

  • Engineering

Readers

  • Military Engineering.
  • Radio communications and signal processing.
  • Speech Processing/Speech Recognition.