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Speech Segregation based on Pitch Track Correction and Music-Speech ClassificationKIM, H.-G. , JANG, G.-J. , PARK, J.-S. , KIM, J.-H. , OH, Y.-H.
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source separation, speech processing, speech analysis, signal denoising, noise cancellation
processing(7), neural(6), signal(5), separation(5), music(5), auditory(5), speech(4), negative(4), factorization(4)
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About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 15 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02003
Web of Science Accession Number: 000305608000003
SCOPUS ID: 84865301789
A novel approach for pitch track correction and music-speech classification is proposed in order to improve the performance of the speech segregation system. The proposed pitch track correction method adjusts unreliable pitch estimates from adjacent reliable pitch streaks, in contrast to the previous approach using a single pitch streak which is the longest among the reliable pitch streaks in a sentence. The proposed music and speech classification method finds continuous pitch streaks of the mixture, and labels each streak as music-dominant or speech-dominant based on the observation that music pitch seldom changes in a short-time period whereas speech pitch fluctuates a lot. The speech segregation results for mixtures of speech and various competing sound sources demonstrated that the proposed methods are superior to the conventional method, especially for mixtures of speech and music signals.
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| A. S. Bregman, Auditory Scene Analysis: The Perceptual Organization of Sound. MIT Press, Cambridge MA, 1990.
 P. Smaragdis and J. C. Brown, "Non-negative matrix factorization for polyphonic music transcription," IEEE workshop on applications of signal processing to audio and acoustics, pp. 177-180, 2003
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 371]
 S. Choi, A. Cichocki, H.-M. Park, and S.-Y. Lee, "Blind source separation and independent component analysis: A review," Neural Information Processing - Letters and Reviews, vol. 6, 1 2005
 B. Raj, T. Virtanen, S. Chaudhuri, and R. Singh, "Non-negative matrix factorization based compensation of music for automatic speech recognition," in Proc. INTERSPEECH, pp. 717-720, 2010
 A. Nehorai and B. Porat, "Adaptive comb filtering for harmonic signal enhancement," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 34, no. 5, pp. 1124-1138, 1986
[CrossRef] [Web of Science Times Cited 137] [SCOPUS Times Cited 169]
 S. T. Roweis, "One microphone source separation," Advances in Neural Information Processing Systems, vol. 13, pp. 793-799, 2001
 G.-J. Jang, T.-W. Lee, and Y.-H. Oh, "Single channel signal separation using time-domain basis functions," IEEE Signal Processing Letters, vol. 10, pp. 168-171, 6 2003
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 53]
 G. Hu and D. Wang, "Monaural speech segregation based on pitch tracking and amplitude modulation," IEEE Transactions on Neural Networks, vol. 15, no. 5, pp. 1135-1150, 2004
[CrossRef] [PubMed] [Web of Science Times Cited 189] [SCOPUS Times Cited 247]
 D. D. Lee and H. S. Seung, "Algorithms for non-negative matrix factorization," Advances in Neural Information Processing Systems, vol. 13, pp. 556-562, 2001
 T. Virtanen, A. Mesaros, and M. Ryynänen, "Combining pitch-based inference and non-negative spectrogram factorization in separating vocals from polyphonic music," in Proc. ITRW on Statistical and Perceptual Audio Processing, pp. 17-22, 2008
 R. D. Patterson, I. Nimmo-Smith, J. Holdsworth, and P. Rice, "An efficient auditory filterbank based on the gammatone function," tech. rep., Annex B of the SVos Final Report: The auditory filterbank, APU Report 2341, 1988
 M. Weintraub, "A theory and computational model of auditory monaural sounds separation," ph.d. thesis, Stanford University, 1985
 M. P. Ryynänen and A. P. Klapuri, "Automatic transcription of melody, bass line, and chords in polyphonic music," Computer Music Journal, vol. 32, no. 3, pp. 72-86, 2008
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 81]
 D. L. Wang and G. J. Brown, "Separation of speech from interfering sounds based on oscillatory correlation," IEEE transactions on neural networks, vol. 10, no. 3, pp. 684-697, 1999
[CrossRef] [PubMed] [SCOPUS Times Cited 190]
 Ray Meddis, "Simulation of auditory-neural transduction: further studies," Acoustical Society of America, vol. 83, pp. 1056-1063, 1988
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