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International Journal of Information and Communication Technology Research (IJICT، جلد ۲، شماره ۱، صفحات ۱-۱۰
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عنوان انگلیسی VQ-based Approach to Single-Channel Audio Separation for Music and Speech Mixtures
چکیده انگلیسی مقاله In this paper, we propose a low-complexity model-based single-channel audio separation approach. The proposed method presents three certain advantages over previous methods: I) replacing commonly used linear masks like Wiener filtering by a proposed non-linear one, we show that it is possible to lower the crosstalk of the interfering source often occurring in a mask-based method while recovering the underlying signals from the observed mixture. Using nonlinear masks establishes a tradeoff between acceptable level of interference and low speech distortion, 2) as a post-processing stage, we use phase synchronization technique to enhance the perceptual quality of the re­synthesized signals, and 3) the proposed method is based on vector quantization {VQ) codebooks. Hence, the complexity is lower than previous GMM-based methods. Through extensive experiments, it is demonstrated that the proposed method can achieve a lower signal-to-distortion ratio (SDR). According to our listening experiments and according to the Mean Opinion Score (MOS) results, it is confirmed that the proposed method is able to recover separated outputs with a higher perceived signal quality.
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نویسندگان مقاله | Pejman Mowlaee
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran


| Abolghasem Sayadiyan
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran


| Hamid Sheikhzadeh Nadjar
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran
نشانی اینترنتی http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-236&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/417/article-417-1212524.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده فناوری اطلاعات
نوع مقاله منتشر شده پژوهشی
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