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Speech-intelligibility improvements using a binaural adaptive-scheme based conceptually on human auditory processing.

A Hussain1, D R Campbell

  • 1Department of Applied Computing, University of Dundee, Scotland, UK.

International Journal of Neural Systems
|January 12, 2000
PubMed
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This study introduces a novel binaural adaptive sub-band processing scheme for speech enhancement. The method significantly improves speech intelligibility and quality in noisy environments compared to traditional approaches.

Area of Science:

  • Auditory Signal Processing
  • Acoustics
  • Biomedical Engineering

Background:

  • Speech intelligibility and quality are often degraded by background noise.
  • Existing wide-band speech enhancement methods have limitations in mimicking human auditory processing.
  • Human auditory systems process sound in frequency-specific channels (sub-bands).

Purpose of the Study:

  • To develop and evaluate a novel binaural adaptive sub-band speech enhancement scheme.
  • To compare the proposed scheme against conventional wide-band processing and unprocessed signals.
  • To investigate the potential for extending the scheme using artificial neural networks (ANNs).

Main Methods:

  • Decomposition of wide-band signals into sub-bands based on human cochlear function.

Related Experiment Videos

  • Application of a binaural adaptive processing strategy within these sub-bands.
  • Intelligibility and formal listening tests with 15 normal-hearing subjects exposed to speech in automobile noise.

    • Main Results:

    • The proposed binaural adaptive sub-band scheme demonstrated statistically significant improvements in speech intelligibility.
    • Perceived speech quality was also significantly enhanced compared to wide-band processing and unprocessed signals.
    • The scheme showed effectiveness in reducing the impact of automobile noise on speech perception.

    Conclusions:

    • The binaural adaptive sub-band processing scheme offers a superior approach to speech enhancement.
    • The method effectively leverages principles of human auditory processing for improved performance.
    • Future work includes developing a more flexible sub-band processing method using constrained artificial neural networks (ANNs).