Monaural Speech Separation

NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems

Volumn , Issue , 2002, Pages 1221-1228

  Hu, Guoning ^a   Wang, DeLiang ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HARMONIC ANALYSIS; PSYCHOACOUSTIC; SOURCE SEPARATION; SPEECH ANALYSIS;

AUDITORY SCENE ANALYSIS; FREQUENCY RANGES; HIGH FREQUENCY HF; LOW-HIGH; LOWER FREQUENCIES; PERCEPTUAL MECHANISM; SEGMENT-BASED; SPEECH SEPARATION; TEMPORAL CONTINUITY; UNRESOLVED HARMONICS;

AMPLITUDE MODULATION;

EID: 84899006485     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. A. S. Bregman, Auditory scene analysis, Cambridge MA: MIT Press, 1990.
2. R. P. Carlyon and T. M. Shackleton, “Comparing the fundamental frequencies of resolved and unresolved harmonics: evidence for two pitch mechanisms?” J. Acoust. Soc. Am., Vol. 95, pp. 3541-3554, 1994.
3. G. Cauwenberghs, “Monaural separation of independent acoustical components,” In Proc. of IEEE Symp. Circuit & Systems, 1999.
4. M. Cooke, Modeling auditory processing and organization, Cambridge U.K.: Cambridge University Press, 1993.
5. M. Cooke, P. Green, L. Josifovski, and A. Vizinho, “Robust automatic speech recognition with missing and unreliable acoustic data,” Speech Comm., Vol. 34, pp. 267-285, 2001.
6. C. J. Darwin and R. P. Carlyon, “Auditory grouping,” in Hearing, B. C. J. Moore, Ed., San Diego CA: Academic Press, 1995.
7. D. P. W. Ellis, Prediction-driven computational auditory scene analysis, Ph.D. Dissertation, MIT Department of Electrical Engineering and Computer Science, 1996.
8. H. Helmholtz, On the sensations of tone, Braunschweig: Vieweg & Son, 1863. (A. J. Ellis, English Trans., Dover, 1954.)
9. G. Hu and D. L. Wang, “Monaural speech segregation based on pitch tracking and amplitude modulation,” Technical Report TR6, Ohio State University Department of Computer and Information Science, 2002. (available at www.cis.ohio-state.edu/~hu)
10. A. Hyvärinen, J. Karhunen, and E. Oja, Independent component analysis, New York: Wiley, 2001.
11. W. J. M. Levelt, Speaking: From intention to articulation, Cambridge MA: MIT Press, 1989.
12. R. Meddis, “Simulation of auditory-neural transduction: further studies,” J. Acoust. Soc. Am., Vol. 83, pp. 1056-1063, 1988.
13. B. C. J. Moore, An Introduction to the psychology of hearing, 4th Ed., San Diego CA: Academic Press, 1997.
14. D. O'Shaughnessy, Speech communications: human and machine, 2nd Ed., New York: IEEE Press, 2000.
15. R. D. Patterson, I. Nimmo-Smith, J. Holdsworth, and P. Rice, “An efficient auditory filterbank based on the gammatone function,” APU Report 2341, MRC, Applied Psychology Unit, Cambridge U.K., 1988.
16. R. Plomp and A. M. Mimpen, “The ear as a frequency analyzer II,” J. Acoust. Soc. Am., Vol. 43, pp. 764-767, 1968.
17. S. Roweis, “One microphone source separation,” In Advances in Neural Information Processing Systems 13 (NIPS'00), 2001.
18. D. L. Wang and G. J. Brown, “Separation of speech from interfering sounds based on oscillatory correlation,” IEEE Trans. Neural Networks, Vol. 10, pp. 684-697, 1999.
19. M. Weintraub, A theory and computational model of auditory monaural sound separation, Ph.D. Dissertation, Stanford University Department of Electrical Engineering, 1985.