Separation of Multiple Speech Signals by usingTriangular Microphone Array

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Published: Jan 30, 2008
DOI: https://doi.org/10.37936/ecti-eec.200861.171743
Keywords:
Separation of speech signals ICA Time-frequency masking Hands-free commmunication Human-machine interfaces

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Nozomu Hamada
Department of Systems Engineering, Faculty of Science and engineering, Keio University

Abstract

Speech source separation has been an important topic to realize speech-based human-machine interfaces or high quality hand-free communication with machines. For source separation, Independent Component Analysis (ICA) and time-frequency masking are powerful methods as a tool of Blind Source Separation (BSS) of speech mixtures. The latter method is based on the assumption called \W-Disjoint Orthogonality" which implies the cell component sparsity of speech in the time-frequency domain. One of the topics treated in this article is to introduce the time-frequency masking scheme is applied to the equilateral triangular array where the three delay estimates from each microphone pairs are obtained. In addition, it is used to improve histogram-mapping algorithm by integrate and coordinate transformation of three delay estimates. Some experiments in real environment for separating multiple sources are performed to verify the effectiveness.

Article Details

How to Cite
Hamada, N. (2008). Separation of Multiple Speech Signals by usingTriangular Microphone Array. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 6(1), 15–21. https://doi.org/10.37936/ecti-eec.200861.171743
Issue
Vol. 6 No. 1 (2008): Regular Issue
Section
Research Article

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