Energy Based Dual-Microphone Electronic Speech Segregation

Yi Jiang; Hong Zhou; Yuan Yuan Zu; Xiao Chen

doi:10.4028/www.scientific.net/AMM.385-386.1381

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Energy Based Dual-Microphone Electronic Speech...

Energy Based Dual-Microphone Electronic Speech Segregation

Abstract:

Speech segregation based on energy has a good performance on dual-microphone electronic speech signal processing. The implication of the binary mask to an auditory mixture has been shown to yield substantial improvements in signal-to-noise-ratio (SNR) and intelligibility. To evaluate the performance of a binary mask based dual microphone speech enhancement algorithm, various spatial noise sources and reverberation test conditions are used. Two compare dual microphone systems based on energy difference and machine learning are used at the same time. Result with SNR and speech intelligibility show that more robust performance can be achieved than the two compare systems.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1381-1384

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1381

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Online since:

August 2013

Authors:

Yi Jiang, Hong Zhou, Yuan Yuan Zu, Xiao Chen

Keywords:

Binary Mask, Close-Talk System, Dual Microphone, Speech Enhancement

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