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Related Experiment Videos

New speech harmonic structure measure and its applications to speech processing.

An-Tze Yu1, Hsiao-Chuan Wang

  • 1Department of Computer Science, National Chupei Senior High School, Hsinchu, Taiwan, ROC. yuat@ms25.hinet.net

The Journal of the Acoustical Society of America
|December 2, 2006
PubMed
Summary

This study introduces a novel set of harmonicity measures for analyzing speech signals in noisy environments. These new measures offer improved speech processing capabilities, including better distortion analysis and fundamental frequency estimation.

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Area of Science:

  • Signal Processing
  • Acoustics
  • Speech Science

Background:

  • Harmonic structure in speech is discernible in time-frequency representations, even in adverse conditions.
  • Conventional harmonicity measures the completeness of harmonic structures.
  • Existing measures may not fully capture the nuances of harmonic integrity in complex acoustic environments.

Purpose of the Study:

  • To introduce a novel, extended set of harmonicity measures for speech signals.
  • To provide a systematic analysis of speech harmonic structure.
  • To enhance the effectiveness of various speech processing tasks.

Main Methods:

  • Developed four new harmonicity measures: grid, temporal, segment-spectral, and segmental harmonicity.
  • Grid harmonicity quantifies harmonic completeness within individual frames.

Related Experiment Videos

  • Temporal, segment-spectral, and segmental harmonicities aggregate frame-level information across time and segments.

    • Main Results:

    • The proposed set of harmonicities enables a more comprehensive analysis of speech harmonic structure.
    • Demonstrated effectiveness in applications such as speech distortion analysis and robust fundamental frequency estimation.
    • Showcased improved performance in robust voicing detection and speech enhancement.

    Conclusions:

    • The novel harmonicity measures offer a powerful tool for analyzing speech signals, particularly in challenging acoustic conditions.
    • These measures significantly enhance the performance of several critical speech processing applications.
    • The extended harmonicity framework provides a robust foundation for future research in speech signal processing.