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Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
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Speech enhancement using a generic noise codebook.

Sriram Srinivasan1, D Hanumantha Rao Naidu

  • 1Philips Research, High Tech Campus 36, 5656AE Eindhoven, Netherlands. sriram.srinivasan@philips.com

The Journal of the Acoustical Society of America
|August 17, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel speech enhancement method using a generic noise codebook. This approach improves performance in non-stationary noise, overcoming limitations of traditional single-microphone techniques.

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Area of Science:

  • Signal Processing
  • Acoustics
  • Speech Technology

Background:

  • Single-microphone noise reduction is effective for stationary noise but struggles with non-stationary conditions.
  • Prior knowledge of speech and noise power spectral densities (PSDs) via codebooks can improve performance.
  • Trained noise codebooks are impractical due to the wide variety of real-world noise types.

Purpose of the Study:

  • To present a novel speech enhancement method utilizing a generic noise codebook.
  • To address the limitations of existing methods in non-stationary noise environments.
  • To enable practical application of noise codebooks in speech enhancement systems.

Main Methods:

  • Development of a speech enhancement technique employing a generic noise codebook.
  • On-the-fly generation of the noise codebook for adaptability.
  • Utilizing power spectral densities for noise reduction.

Main Results:

  • The proposed method demonstrates good performance in speech enhancement.
  • The on-the-fly generated generic noise codebook effectively handles various noise conditions.
  • Achieved performance surpasses limitations of traditional methods in non-stationary noise.

Conclusions:

  • A practical and effective speech enhancement method using a generic, on-the-fly generated noise codebook is presented.
  • This approach offers a viable solution for improving speech clarity in challenging, non-stationary acoustic environments.
  • The findings suggest a significant advancement in single-microphone speech enhancement technology.