NDLI: Blind audio source separation by NTF and its perceptual quality evaluation

Content Provider	IEEE Xplore Digital Library
Author	Keyder, M.A. Gunsel, B.
Copyright Year	2008
Description	Author affiliation: Cogulortam isaret isleme ve Oruntu Tanima Lab. Elektron. ve Haberlesme Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul (Keyder, M.A.; Gunsel, B.)
Abstract	In this paper, the audio blind source separation (BSS) using three dimensional nonnegative tensor factorization (3D-NTF), is realized. The audio source separation is modeled as an optimization problem and the beta-divergence cost function is iteratively optimized by alternating multiplicative update rules. The traditional measures which are used to evaluate the decomposition performance are known to be not informative about perceptual quality of the audio signals. Therefore performance of the designed system is evaluated not only with the well known Amari index, but also with perceptual audio quality criterions which are defined in the recommendation report, ITU-R BS.1387 of International Telecommunication Union (ITU). In this study, it has been shown that source decomposition performance of the NTF modelling on audio data mixed under different conditions, is superior to the nonnegative matrix factorization (NMF). Furthermore, it has been observed that some of the decomposed sources are acceptable according to Amari index while thay are not with respect to the perceptual quality criteria thus it can be concluded that the perceptual criteria is more suitable to objective quality evaluation of audio.
Starting Page	1
Ending Page	4
File Size	697630
Page Count	4
File Format	PDF
ISBN	9781424419982
DOI	10.1109/SIU.2008.4632692
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-20
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source separation Artificial neural networks Signal processing Communications technology Blind source separation Distortion measurement Indexes
Content Type	Text
Resource Type	Article

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