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Speech enhancement using an equivalent source inverse filtering-based microphone array.

Mingsian R Bai¹, Kur-Nan Hur, Ying-Ting Liu

¹Department of Mechanical Engineering, National Chiao-Tung University, 1001 Ta-Hsueh Road, Hsin-Chu 300, Taiwan. msbai@mail.nctu.edu.tw

The Journal of the Acoustical Society of America

|March 25, 2010

Summary

This summary is machine-generated.

This study introduces a novel microphone array technique for clearer speech in noisy, reverberant settings. The single-input-multiple-output equivalent source inverse filtering (SIMO-ESIF) method effectively reduces noise while preserving speech quality.

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Area of Science:

Acoustics
Signal Processing
Telecommunications Engineering

Background:

Reverberant environments degrade speech quality in telecommunication systems.
Noise-corrupted speech signals require effective enhancement for clear communication.

Purpose of the Study:

To present a microphone array technique for enhancing speech quality in reverberant conditions.
To address noise reduction and de-reverberation challenges in automotive hands-free systems.

Main Methods:

Utilized single-input-multiple-output equivalent source inverse filtering (SIMO-ESIF) for time-domain processing.
Incorporated an adaptive generalized side-lobe canceller to improve robustness against uncertainties.
Experimentally implemented and validated the system in a vehicle environment.

Main Results:

The proposed SIMO-ESIF technique demonstrated significant noise reduction in human speech.
Speech quality was maintained without substantial degradation.
Subjective listening tests confirmed the system's effectiveness.

Conclusions:

The SIMO-ESIF microphone array technique is effective for enhancing speech in reverberant and noisy environments.
The system shows promise for applications like automotive hands-free communication.
Further analysis using ANOVA and Fisher's LSD test validated the performance of noise reduction algorithms.