Enhanced Voice Activity Detection Using Modified Wiener Filtering and Harmonic Structure Information
نویسندگان
چکیده
Accurate and effective Voice Activity Detection (VAD) is a fundamental step for robust speech and speaker recognition. In this study, we propose a robust VAD algorithm based on Modified Wiener Filtering and Harmonic Structure Information. Effectiveness of the proposed algorithm is evaluated by using some wellknown databases. Experimental results show that the proposed method performs well under a variety of noisy conditions. Copyright © 2014 IFSA Publishing, S. L.
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