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A Speech Enhancement Algorithm for Speech Reconstruction Based on Laser Speckle Images.

Xueying Hao1, Dali Zhu2,3, Xianlan Wang1

  • 1Graduate Department, Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|January 8, 2023
PubMed
Summary

A novel speech enhancement algorithm addresses frequency response issues in laser speckle-based speech reconstruction. This method significantly improves the accuracy of reconstructed speech signals, enhancing correlation coefficients by up to 82.45%.

Keywords:
frequency responsefrequency spectrum correlation coefficientlaser speckle imagespeech enhancement

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Area of Science:

  • Optics
  • Signal Processing
  • Acoustics

Background:

  • Laser speckle imaging reconstructs speech signals.
  • Acoustic resonance causes frequency response problems, reducing speech reconstruction accuracy.

Purpose of the Study:

  • To propose a speech enhancement algorithm to mitigate frequency response issues.
  • To improve the accuracy of speech signals reconstructed using laser speckle imaging.

Main Methods:

  • Developed a speech enhancement algorithm targeting frequency response reduction.
  • Evaluated the algorithm's performance on sinusoidal and real speech signals.

Main Results:

  • The algorithm improved the frequency spectrum correlation coefficient for sinusoidal signals by up to 82.45%.
  • Real speech signals showed an improvement of up to 56.40% after applying the algorithm.

Conclusions:

  • The proposed speech enhancement algorithm effectively solves the frequency response problem.
  • The algorithm is a valuable tool for enhancing the accuracy of reconstructed speech.