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Related Experiment Video

Updated: May 24, 2026

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

Model-based speech enhancement using a bone-conducted signal.

Patrick Kechichian¹, Sriram Srinivasan

¹Philips Research, High Tech Campus 36, 5656AE Eindhoven, The Netherlands. patrick.kechichian@philips.com

The Journal of the Acoustical Society of America

|March 20, 2012

Summary

This summary is machine-generated.

This study introduces a novel speech enhancement method using bone-conduction for improved noise suppression. The technique reduces computational complexity while maintaining high performance in noisy environments.

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Area of Science:

Signal Processing
Acoustics
Speech Technology

Background:

Single-microphone noise suppressors offer improved performance in nonstationary noise by leveraging speech and noise statistics.
Joint optimization of speech and noise codebooks in traditional methods leads to high computational complexity.
Existing methods struggle with efficiency and performance trade-offs in complex acoustic environments.

Purpose of the Study:

To develop a computationally efficient codebook-based noise suppressor for single-microphone systems.
To improve speech enhancement performance in nonstationary noise conditions.
To reduce the computational load of speech enhancement algorithms.

Main Methods:

A novel codebook-based method utilizing a bone-conduction microphone reference signal.
Offline generation of a mapping between air- and bone-conduction codebook entries.
Selection of a reduced subset of air-conducted speech codebook entries based on the reference signal.

Main Results:

Demonstrated significant improvement in speech enhancement performance.
Achieved expected performance gains at substantially reduced computational complexity.
Validated the effectiveness of the bone-conduction reference signal for codebook selection.

Conclusions:

The proposed method offers an effective solution for low-complexity, high-performance speech enhancement.
Bone-conduction reference signals provide a viable approach to optimize codebook selection in noise suppression.
This technique presents a promising advancement for real-time speech processing applications.