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Pathological speech signal analysis using time-frequency approaches.

Behnaz Ghoraani1, Karthikeyan Umapathy, Lakshmi Sugavaneswaran

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Summary
This summary is machine-generated.

This study introduces a framework for comparing pathological voice detection methods. It highlights the advantages of time-frequency techniques for analyzing voice disorders and improving patient monitoring.

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Area of Science:

  • Speech science
  • Medical acoustics
  • Signal processing

Background:

  • Acoustical measures are crucial for assessing voice disorders and tracking therapy progress.
  • Numerous automatic pathological voice detection techniques have emerged, including traditional and advanced methods.
  • Comparing these diverse methods is challenging due to varied approaches.

Purpose of the Study:

  • To present a unifying framework for existing pathological voice detection methods.
  • To compare and discuss the methodologic principles of disordered voice analysis schemes.
  • To review and demonstrate the benefits of time-frequency approaches in voice signal analysis.

Main Methods:

  • Development of a framework to categorize and compare existing voice analysis techniques.
  • Comparative analysis of traditional temporal/spectral methods versus time-frequency approaches.
  • Comprehensive literature review focusing on time-frequency analysis for pathological voice detection.

Main Results:

  • A framework is established for a systematic comparison of diverse voice analysis methods.
  • Time-frequency approaches show significant advantages in extracting pathological voice features.
  • The review underscores the potential of time-frequency methods for advancing voice disorder analysis.

Conclusions:

  • The proposed framework facilitates a clearer understanding and comparison of pathological voice detection techniques.
  • Time-frequency analysis offers superior capabilities for identifying and analyzing voice pathologies.
  • This work provides a foundation for developing novel and improved methods for disordered voice analysis.