On the optimality of ideal binary time-frequency masks

Speech Communication

Volumn 51, Issue 3, 2009, Pages 230-239

  Li, Yipeng ^a   Wang, DeLiang ^a  

^a The Ohio State University   (United States)

Author keywords

Ideal binary mask; Ideal ratio mask; Optimality; Sound separation; Wiener filter

Indexed keywords

DATABASE SYSTEMS; SEPARATION; SIGNAL TO NOISE RATIO;

IDEAL BINARY MASK; IDEAL RATIO MASK; OPTIMALITY; SOUND SEPARATION; WIENER FILTER;

ADAPTIVE FILTERING;

EID: 58149196390     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2008.09.001     Document Type: Article

References (31)

1. Bregman A.S. Auditory Scene Analysis (1990), MIT Press, Cambridge, MA
2. Brown G.J., and Cooke M.P. Computational auditory scene analysis. Comput. Speech Lang. 8 (1994) 297-336
3. Brungart D., Chang P.S., Simpson B.D., and Wang D.L. Isolating the energetic component of speech-on-speech masking with an ideal binary time-frequency mask. J. Acoust. Soc. Amer. 120 (2006) 4007-4018
4. Cooke M.P. Modeling Auditory Processing and Organization (1993), Cambridge University Press, Cambridge, UK
5. Deshmukh O.M., Espy-Wilson C.Y., and Carney L.H. Speech enhancement using the modified phase-opponency model. J. Acoust. Soc. Amer. 121 6 (2007) 3886-3898
6. Ellis D.P.W. Model-based scene analysis. In: Wang D.L., and Brown G.J. (Eds). Computational Auditory Scene Analysis: Principles, Algorithms, and Application (2006), Wiley/IEEE Press, Hoboken, NJ 115-146
7. Goto, M., Hashiguchi, H., Nishimura, T., Oka, R., 2003. RWC music database: music genre database and musical instrument sound database. In: Internat. Conf. on Music Information Retrieval.
8. Harding S., Barker J., and Brown G.J. Mask estimation for missing data speech recognition based on statistics of binaural interaction. IEEE Trans. Audio, Speech, Lang. Process. 14 1 (2006) 58-67
9. Hu, G., Wang, D.L., 2001. Speech segregation based on pitch tracking and amplitude modulation. In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
10. Hu G., and Wang D.L. Monaural speech segregation based on pitch tracking and amplitude modulation. IEEE Trans. Neural Networks 15 5 (2004) 1135-1150
11. Hubbard T.L., and Datteri D.L. Recognizing the component tones of a major chord. Amer. J. Psychol. 114 4 (2001) 569-589
12. Kim Y.-I., An S.J., and Kil R.M. Zero-crossing based time-frequency masking for sound segregation. Neural Inform. Process. - Lett. Rev. 10 (2006) 125-134
13. Li N., and Loizou P.C. Factors influencing intelligibility of ideal binary-masked speech: Implications for noise reduction. J. Acoust. Soc. Amer. 123 (2008) 1673-1682
14. Li, Y., Wang, D.L., 2007. Pitch detection in polyphonic music using instrument tone models. In: IEEE Internat. Conf. on Acoustics, Speech, and Signal Processing, pp. II.481-484.
15. Li P., Guan Y., Xu B., and Liu W. Monaural speech separation based on computational auditory scene analysis and objective quality assessment of speech. IEEE Trans. Audio, Speech, Lang. Process. 14 6 (2006) 2014-2023
16. Lim J.S., and Oppenheim A.V. Enhancement and bandwidth compression of noisy speech. Proc. IEEE 67 12 (1979) 1586-1604
17. Oppenheim A.V., Schafer R.W., and Buck J.R. Discrete-Time Signal Processing. second ed. (1999), Prentice-Hall
18. Princen J.P., and Bradley A.B. Analysis/synthesis filter bank design based on time domain aliasing cancellation. IEEE Transactions on Acoustics, Speech, and Signal Processing 34 5 (1986) 1153-1161
19. Radfar, M.H., Dansereau, R.M., Sayadiyan, A., 2007. A maximum likelihood estimation of vocal-tract-related filter characteristics for single channel speech separation. EURASIP Journal on Audio, Speech, and Music Processing 2007, Article ID 84186, p. 15.
20. Reddy A.M., and Raj B. Soft mask methods for single-channel speaker separation. IEEE Trans. Audio, Speech, Lang. Process. 25 6 (2007) 1766-1776
21. Roman N., Wang D.L., and Brown G.J. Speech segregation based on sound localization. J. Acoust. Soc. Amer. 114 4 (2003) 2236-2252
22. Srinivasan S., Roman N., and Wang D.L. Binary and ratio time-frequency masks for robust speech recognition. Speech Comm. 48 (2006) 1486-1501
23. Strang G., and Nguyen T. Wavelets and Filter Banks (1996), SIAM, Philadelphia, PA
24. van Trees H.L. Detection, Estimation, and Modulation Theory, Part I (1968), Wiley, New York
25. Vincent E., Gribonval R., and Fevotte C. Performance measurement in blind audio source separation. IEEE Trans. Audio, Speech, Lang. Process. 14 4 (2006) 1462-1469
26. Vincent E., Gribonval R., and Plumbley M.D. Oracle estimators for the benchmarking of source separation algorithms. Signal Process. 87 (2007) 1933-1950
27. Wang D.L. On ideal binary masks as the computational goal of auditory scene analysis. In: Divenyi P. (Ed). Speech Separation by Humans and Machines (2005), Kluwer Academic, Boston, MA 181-197
28. Wang D.L., and Brown G.J. Separation of speech from interfering sounds based on oscillatory correlation. IEEE Trans. Neural Networks 10 3 (1999) 684-697
29. In: Wang D.L., and Brown G.J. (Eds). Computational Auditory Scene Analysis: Principles, Algorithms, and Applications (2006), Wiley/IEEE Press, Hoboken, NJ
30. Weintraub, M., 1985. A theory and computational model of auditory monaural sound separation. Ph.D. Thesis, Stanford University, Department of Electrical Engineering.
31. Wiener N. Extrapolation, Interpolation, and Smoothing of Stationary Time Series (1949), MIT Press, Cambridge, MA