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PVR-AFM: A Pathological Voice Repair System based on Non-linear Structure.

Tao Zhang1, Xiaonan Liu1, Ganjun Liu1

  • 1School of Electrical and Information Engineering, Tianjin University, Tianjin, China, 300072.

Journal of Voice : Official Journal of the Voice Foundation
|September 17, 2023
PubMed
Summary

This study introduces a novel non-invasive repair system for pathological voices, enhancing speech intelligibility for individuals with voice disorders. The system effectively processes polyp vowels, improving communication accuracy.

Keywords:
AM—FM Structure—Multiple vowels—Pathological Voice Disorder—Voice Repair

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Area of Science:

  • Speech Signal Processing
  • Bioacoustics
  • Medical Engineering

Background:

  • Existing speech processing systems often overlook individuals with voice disorders.
  • Pathological voices, common in professionals, older adults, and smokers, require specialized processing.
  • There is a need for non-invasive systems to repair and improve the intelligibility of disordered speech.

Purpose of the Study:

  • To develop and evaluate a non-invasive repair system for pathological voices.
  • To address the specific communication needs of individuals with voice disorders.
  • To improve the clarity and intelligibility of pathological speech signals.

Main Methods:

  • Utilized a non-linear model incorporating amplitude-modulation (AM) and frequency-modulation (FM) for pitch and formant extraction.
  • Developed a pitch extraction algorithm to ensure stability and prevent double-pitch errors in pathological voices.
  • Designed a formant reconstruction mechanism to accurately determine frequency and bandwidth for voice repair.

Main Results:

  • The proposed system demonstrated improved intelligibility for pathological speech.
  • Spectrum observation and objective indicators confirmed the system's effectiveness.
  • The system successfully repaired multiple polyp vowels (/a/, /i/, /u/).

Conclusions:

  • The developed non-invasive system effectively repairs pathological voices.
  • The system enhances speech intelligibility, benefiting individuals with voice disorders.
  • This approach offers a promising solution for improving voice communication accuracy in specific populations.