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A Real-Time Speech Separation Method Based on Camera and Microphone Array Sensors Fusion Approach.

Ching-Feng Liu^1,2, Wei-Siang Ciou¹, Peng-Ting Chen³

¹Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan.

Sensors (Basel, Switzerland)

|June 26, 2020

Summary

This study introduces a novel real-time speech separation method using a camera and microphone array. The approach effectively enhances target speech in noisy environments, outperforming traditional methods for non-stationary noise.

Keywords:

asynchronous update beamforming microphone array non-stationary real-time speech separation method

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Area of Science:

Speech processing
Computer vision
Acoustic signal processing

Background:

Traditional speech separation methods struggle with real-time processing and non-stationary noise.
Supervised machine learning and microphone signal processing are limited in dynamic acoustic environments.

Purpose of the Study:

To develop a real-time speech separation method combining optical and acoustic sensing.
To enhance target speech identification and separation in diverse noise conditions.

Main Methods:

A two-stage approach: Stage 1 uses computer vision for target detection and source localization; Stage 2 employs microphone array beamforming for speech enhancement.
Asynchronous update functions integrate beamforming control and speech processing to minimize delay.

Main Results:

Achieved noise reduction of 6.1 dB in stationary and 5.2 dB in non-stationary noise.
Demonstrated a real-time processing response time under 10ms.

Conclusions:

The proposed hybrid optical-acoustic method offers effective real-time speech separation.
Potential applications include assistive listening devices and intelligent personal assistants.