A Discrete Wavelet Transform Based Algorithm for Usable Speech Extraction
Publish place: 11th Intelligent Systems Conference
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICS11_284
تاریخ نمایه سازی: 14 مهر 1392
Abstract:
Co-channel speech signal is generated when two or more people are talking at the same time over the same channel.Segments of co-channel speech that are still usable for speech processing algorithms are known as usable speech. Usable speech is a context-dependent concept, so we consider usable speech extraction in speaker identification application. So far many algorithms are proposed for usable speech extraction [6-8]. The common feature of all existing algorithms is that they exploit the periodical property of the usable frames, in time domain or in frequency domain. In this paper, we propose a discrete wavelet transform (DWT) based algorithm to exploit the periodical property of speech frames. The proposed algorithm is used in two different cases: first, in the voiced detection algorithm and second, in the usable speech extraction algorithm. To evaluate the proposed algorithm, the simulation results are presented in the paper. The simulation results show that the proposed algorithm has 3% improvement in usable speech detection compared with other algorithms
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Authors
Alireza Alizadeh
Department of Electrical Engineering, Islamic Azad University, Ahar Branch
Azam Khalili
Department of Electrical Engineering, Malayer University
Amir Rastegarnia
Department of Electrical Engineering, Malayer University
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