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Related Experiment Video

Updated: Jun 27, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Model-Informed Speech Enhancement Using Virtual Room Acoustics and Acoustic Descriptor Optimization.

Samuel Yaw Mensah1, Tao Zhang2, Xin Zhao2

  • 1School of Electrical & Information Engineering, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

This study introduces a physics-informed algorithm for speech enhancement, reducing reverberation and noise in enclosed spaces. The method improves speech clarity and intelligibility using room acoustics modeling for better performance in diverse environments.

Keywords:
C50DRRHelmholtz equationdereverberationhybrid modelingphysics-informed signal processingroom acousticsspeech enhancement

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Published on: December 23, 2025

Area of Science:

  • Acoustics
  • Signal Processing
  • Computational Physics

Background:

  • Reverberation and noise hinder speech intelligibility in enclosed spaces.
  • Conventional dereverberation methods lack robustness and physical interpretability in new acoustic environments.

Purpose of the Study:

  • To develop a physics-informed speech enhancement algorithm integrating room acoustics modeling and descriptor-guided optimization.
  • To address limitations of conventional methods by improving robustness and interpretability.

Main Methods:

  • Employs virtual field simulations based on the Helmholtz equation to estimate acoustic descriptors (RT60, DRR, C50).
  • Utilizes estimated descriptors to adaptively control a model-informed dereverberation filter.
  • Integrates physical modeling with signal processing for dereverberation.

Main Results:

  • Achieved average gains of +6.4 dB in SNR, +1.2 in PESQ, and +0.13 in STOI.
  • Demonstrated measurable improvements in reducing reverberation time (RT60) and enhancing clarity (C50).
  • Showcased superior performance over baseline methods in simulated and real-room conditions.

Conclusions:

  • The proposed hybrid approach offers computational efficiency and interpretability.
  • Suitable for real-time deployment in applications like teleconferencing, hearing assistance, and smart audio.
  • Effectively minimizes late reverberation while preserving spectral fidelity.