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2016 | OriginalPaper | Chapter

Optimizing the Objective Measure of Speech Quality in Monaural Speech Separation

Authors : M. Dharmalingam, M. C. John Wiselin, R. Rajavel

Published in: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics

Publisher: Springer India

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Abstract

Monaural speech separation based on computational auditory scene analysis (CASA) is a challenging problem in the field of signal processing. The Ideal Binary Mask (IBM) proposed by DeLiang Wang and colleague is considered as the benchmark in CASA. However, it introduces objectionable distortions called musical noise and moreover, the perceived speech quality is very poor at low SNR conditions. The main reason for the degradation of speech quality is binary masking, in which some part of speech is discarded during synthesis. In order to address this musical noise problem in IBM and improve the speech quality, this work proposes a new soft mask as the goal of CASA. The performance of the proposed soft mask is evaluated using perceptual evaluation of speech quality (PESQ). The IEEE speech corpus and NOISEX92 noises are used to conduct the experiment. The experimental results indicate the superior performance of the proposed soft mask as compared to the traditional IBM in the context of monaural speech separation.

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Literature
1.
Loizou, P.C.: Speech Enhancement: Theory and Practice, 2nd edn, CRC Press (2013)
2.
Naik, G.R., Kumar, D.K.: An over view of independent component analysis and its applications. Informatica 35, 63–81 (2011)MATH
3.
Grais, E., Erdogan, H.: Single channel speech music separation using nonnegative matrix factorization and spectral masks. In: The 17th International Conference on Digital Signal Processing, pp. 1–6. Island of Corfu, Greece (2011)
4.
Jang, G.J., Lee, T.W.: A probabilistic approach to single channel source separation. In: Proceedings of Adv. Neural Inf. Process. System, pp. 1173–1180 (2003)
5.
Bregman, A.S.: Auditory Scene Analysis. MIT Press, Cambridge (1990)
6.
Christopher, H., Toby, S., Tim B.: On the Ideal Ratio Mask as the Goal of Computational Auditory Scene Analysis. In: Naik, G. R., Wang, W. (eds) Blind Source Separation Advances in Theory, Algorithms and Applications. Signals and Communication Technology, pp. 369–393. Springer-Verlag, Heidelberg (2014)
7.
Radfar, M.H., Dansereau, R.M., Chan, W.Y.: Monaural speech separation based on gain adapted minimum mean square error estimation. J. Sign. Process Syst. 61, 21–37 (2010)CrossRef
8.
Mowlaee, P., Saeidi, R., Martin, R.: Model-driven speech enhancement for multisource reverberant environment. In: Theis, F., Cichocki, A., Yeredor, A., Zibulevsky, M. (eds.) Latent Variable Analysis and Signal Separation. Lecture Notes in Computer Science, vol. 7191, pp. 454–461. Springer-Verlag, Heidelberg (2012)CrossRef
9.
Wang, D.: On ideal binary mask as the computational goal of auditory scene analysis. In: Divenyi, P. (ed.) Speech Separation by Human and Machines, pp. 181–197. Kluwer Academic, Norwell (2005)CrossRef
10.
Geravanchizadeh, M., Ahmadnia, R.: Monaural Speech Enhancement Based on Multi-threshold Masking. In: Naik, G. R., Wang, W. (eds) Blind Source Separation Advances in Theory, Algorithms and Applications. Signals and Communication Technology, pp. 369–393. Springer-Verlag, Heidelberg (2014)
11.
Li, N., Loizou, P.C.: Factors influencing intelligibility of ideal binary-masked speech: implications for noise reduction. J. Acoust. Soc. Am. 123(3), 1673–1682 (2008)CrossRef
12.
Araki, S., Sawada, H., Mukai, R. Makino, S.: Blind sparse source separation with spatially smoothed time-frequency masking. In: International Workshop on Acoustic, Echo and Noise Control, Paris (2006)
13.
Cao, S., Li, L., Wu, X.: Improvement of intelligibility of ideal binary-masked noisy speech by adding background noise. J. Acoust. Soc. Am. 129, 2227–2236 (2011)CrossRef
14.
Patterson R.D., Nimmo-Smith, I., Holdsworth J.: Rice P : An Efficient Auditory Filter bank Based on the Gammatone Function. Report No. 2341, MRC Applied Psychology Unit, Cambridge (1985)
15.
Rajavel, R., Sathidevi, P.S.: A new GA optimised reliability ratio based integration weight estimation scheme for decision fusion audio-visual speech recognition. Int. J. Sig. Imaging Syst. Eng. 4(2), 123–131 (2011)CrossRef
16.
Rothauser, E.H., Chapman, W.D., Guttman, N., Hecker, M.H.L., Nordby, K.S., Silbiger, H.R., Urbanek, G.E., Weinstock, M.: Ieee recommended practice for speech quality measurements. IEEE Trans. Audio Electro Acoust. 17, 225–246 (1969)CrossRef
17.
18.
ITU-T: Perceptual Evaluation of Speech Quality (PESQ): An Objective Method for End-to-End Speech Quality Assessment of Narrow-Band Telephone Networks and Speech Codecs, Series P: Telephone Transmission Quality Recommendation P.862, ITU, 1.4. (2001)
Metadata
Title
Optimizing the Objective Measure of Speech Quality in Monaural Speech Separation
Authors
M. Dharmalingam
M. C. John Wiselin
R. Rajavel
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics

Print ISBN: 978-81-322-2537-9

Electronic ISBN: 978-81-322-2538-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2538-6_56

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