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Postfilter for Dual Channel Speech Enhancement Using Coherence and Statistical Model-Based Noise Estimation.

Sein Cheong1, Minseung Kim1, Jong Won Shin1

  • 1School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.

Sensors (Basel, Switzerland)
|June 27, 2024
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Summary
This summary is machine-generated.

This study introduces a novel speech enhancement postfilter using coherence and statistical models for accurate noise estimation. The method improves speech quality in diffuse noise without degrading it with directional interference.

Keywords:
coherencedual channel speech enhancementnoise PSD estimationpostfilterspeech presence probability estimation

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Area of Science:

  • Signal Processing
  • Acoustics
  • Speech Technology

Background:

  • Multichannel speech enhancement systems rely on spatial filters and postfilters for noise reduction.
  • Accurate estimation of residual noise power spectral density (PSD) is critical for effective postfiltering.

Purpose of the Study:

  • To propose a novel postfilter for multichannel speech enhancement.
  • To develop new estimators for a posteriori speech presence probability (SPP) and noise PSD based on coherence and statistical models.

Main Methods:

  • Modeled a posteriori SPP using coherence between microphone signals and combined it with a statistical model-based SPP.
  • Derived a coherence-based noise PSD estimator using pseudo-coherence, considering beamformer effects.
  • Combined coherence-based and statistical model-based noise PSD estimators with the proposed SPP.
  • Modified the spectral gain function to incorporate the proposed SPP.

Main Results:

  • The proposed method achieved more accurate noise PSD estimation compared to existing methods.
  • Experimental results showed improved perceptual evaluation of speech quality (PESQ) scores in diffuse noise environments.
  • The method did not degrade speech quality in the presence of directional interference.

Conclusions:

  • The proposed coherence-based approach enhances noise estimation accuracy in speech enhancement.
  • The novel postfilter effectively improves speech quality in various noise conditions.
  • Utilizing coherence information offers a robust strategy for advanced speech enhancement systems.