Recurrent timing nets for F0-based speaker separation

Speech Separation by Humans and Machines

Volumn , Issue , 2005, Pages 31-53

  Cariani, Peter ^a  

^a MASSACHUSETTS EYE AND EAR INFIRMARY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892278577     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/0-387-22794-6_4     Document Type: Chapter

References (44)

1. Abeles, M., 2004. Time is precious. Science 304 (23 April):523-524.
2. Abeles, M., 1990. Corticonics. Cambridge University Press, Cambridge.
3. Assmann, P. F. and Summerfield, Q., 1990. Modeling the perception of concurrent vowels: Vowels with different fundamental frequencies. J. Acoust. Soc. Am., 88:680-697.
4. Boring, E. G., 1942. Sensation and Perception in the History of Experimental Psychology. Appleton-Century-Crofts, New York.
5. Bregman, A. S., 1981. Asking the "what for" question in auditory perception. in, Perceptual Organization. M. Kubovy and J. R. Pomerantz (Eds). Lawrence Erlbaum Assoc., Hillsdale, NJ, pp. 99-118.
6. Bregman, A. S., 1990. Auditory Scene Analysis: The Perceptual Organization of Sound. MIT Press, Cambridge, MA, 773 pp.
7. Cariani, P., 1995. As if time really mattered: temporal strategies for neural coding of sensory information. Communication and Cognition - Artificial Intelligence (CC-AI), 12 (1-2):161-229 (Reprinted in: K Pribram, ed. Origins: Brain and Self-Organization, Hillsdale, NJ: Lawrence Erlbaum, 1994, 208-252.).
8. Cariani, P., 1999. Temporal coding of periodicity pitch in the auditory system: an overview. Neural Plast, 6(4):147-72.
9. Cariani, P., 2001a. Neural timing nets. Neural Networks, 14 (6-7):737-753.
10. Cariani, P., 2001b. Neural timing nets for auditory computation, in Computational Models of Auditory Function. S. Greenberg and M. Slaney (Eds). IOS Press, Amsterdam, pp. 235-249.
11. Cariani, P., 2002. Temporal codes, timing nets, and music perception. J. New Music Res., 30(2):107-136.
12. Cariani, P., 2004 (in press). Temporal codes and computations for sensory representation and scene analysis. IEEE Trans.on Neural Networks, Special Issue on Temporal Coding for Neural Information Proc.
13. Cariani, P. and Delgutte, B., 1993. Interspike interval distributions of auditory nerve fibers in response to concurrent vowels with same and different fundamental frequencies. Assoc. Res. Otolaryngology. Abs.: 373.
14. Darwin, C. J. and Gardner, R. B., 1986. Mistuning a harmonic of a vowel: grouping and phase effects on vowel quality. J Acoust Soc Am, 79(3):838-45.
15. De Chevigné, A., 1999. Waveform interactions and the segregation of concurrent vowels. J Acoust Soc Am, 106(5):2959-72.
16. De Cheveigné, A., 2004. The cancellation principle in acoustic scene analysis. This volume.
17. De Cheveigné, A., 2004, in press. Pitch perception models. in, Pitch, C. J. Plack and A. J. Oxen-ham (Eds). Springer Verlag, New York.
18. Fraisse, P., 1978. Time and rhythm perception. in, Handbook of Perception. Volume VIII. Perceptual Coding, E. C. Carterette and M. P. Friedman (Eds). Academic Press, New York, pp. 203-254.
19. Ghitza, O., 1988. Temporal non-place information in the auditory-nerve firing patterns as a front-end for speech recognition in a noisy environment. J. Phonetics, 16:109-123.
20. Ghitza, O., 1992. Auditory nerve representation as a basis for speech processing. in, Advances in Speech Signal Processing, S. Furui and M. M. Sondhi (Eds). Marcel Dekker, New York, pp. 453-485.
21. Grossberg, S., 1988. The Adaptive Brain, Vols I. and II. Elsevier, New York.
22. Handel, S., 1989. Listening: An Introduction to the Perception of Auditory Events. MIT Press, Cambridge, 597 pp.
23. Hartmann, W. M., 1988. Pitch perception and the segregation and Integration of auditory entities. in, Auditory Function: Neurobiological Bases of Hearing, G. M. Edelman (Ed) John Wiley & Sons, New York, pp. 623-347.
24. Irvine, D. R. F., 1986. The Auditory Brainstem. Progress in Sensory Physiology 7. Springer-Verlag, Berlin, 279 pp.
25. Jones, M. R., 1976. Time, our lost dimension: toward a new theory of perception, attention, and memory. Psychological Review, 83(5):323-255.
26. Kim, D. O. and Molnar, C. E., 1979. A population study of cochlear nerve fibers: comparison of spatial distributions of average-rate and phase-locking measures of responses to single tones. J. Neurophysiol., 42(1):16-30.
27. Kubovy, M., 1981. Concurrent-pitch segregation and the theory of indispensable attributes. in, Perceptual Organization, M. Kubovy and J. R. Pomerantz (Eds). Lawrence Erlbaum Assoc., Hillsdale, NJ, pp. 55-98.
28. Lange, F. H., 1967. Correlation Techniques. Van Nostrand, Princeton, 464 pp.
29. MacKay, D. M., 1962. Self-organization in the time domain. in, Self-Organizing Systems 1962, M. C. Yovitts, G. T. Jacobi and G. D. Goldstein (Eds). Spartan Books, Washington, D. C., pp. 37-48.
30. Meddis, R. and Hewitt, M. J., 1992. Modeling the perception of concurrent vowels with different fundamental frequencies. J. Acoust. Soc. Am., 91:233-245.
31. Mellinger, D. K. and Mont-Reynaud, B. M., 1996. Scene analysis. in, Auditory Computation, H. Hawkins, T. McMullin, A. N. Popper and R. R. Fay (Eds). Springer Verlag, New York, pp. 271-331.
32. Meyer-Eppler, W., 1953. Exhaustion methods of selecting signals from noisy backgrounds. in, Communication Theory, W. Jackson (Ed) Butterworths, London, pp. 183-194.
33. Miller, R. R. and Barnet, R. C., 1993. The role of time in elementary associations. Current Directions in Psychological Science, 2(4):106-111.
34. Palmer, A. R., 1988. The representation of concurrent vowels in the temporal discharge patterns of auditory nerve fibers. in, Basic Issues in Hearing, H. Duifhuis, J. W. Horst and H. P. Wit (Eds). Academic Press, London, pp. 244-251.
35. Palmer, A. R., 1992. Segregation of the responses to paired vowels in the auditory nerve of the guinea pig using autocorrelation. in, The Auditory Processing of Speech, S. M. E. H. (Ed) Mouton de Gruyter, Berlin, pp. 115-124.
36. Patterson, R. D., Allerhand, M. H. and Giguere, C., 1995. Time-domain modeling of peripheral auditory processing: A modular architecture and a software platform. J. Acoust. Soc. Am., 98(4):1890-1894.
37. Rose, J. E., Hind, J. E., Brugge, J. R. and Anderson, D. J., 1971. Some effects of stimulus intensity on response of single auditory nerve fibers of the squirrel monkey. J Neurophys-iology, 34(4):685-699.
38. Seeker-Walker, H. E. and Searle, C. L., 1990. Time-domain analysis of auditory-nerve-fiber firing rates. J. Acoust. Soc. Am., 88(3):1427-1436.
39. Sinex, D. G., Sabes, S. J. and Li, H., 2002. Responses of inferior colliculus neurons to harmonic and mistuned complex tones. Hear. Res., 168:150-62.
40. Stern, R. 2003. Signal separation motivated by auditory perception. Perspectives on Speech Separation, Montreal, October 30-November 1, 2003. http://www.ebire.org/speech-separation.
41. Summerfield, Q. and Assmann, P. F., 1991. Perception of concurrent vowels: effects of harmonic misalignment and pitch-period asynchrony. J. Acoust. Soc. Am., 89(3):1364-1377.
42. Thatcher, R. W. and John, E. R., 1977. Functional Neuroscience, Vol. I. Foundations of Cognitive Processes. Lawrence Erlbaum, Hillsdale, NJ, 382 pp.
43. Wang, D. L. and Brown, G. J., 1999. Separation of speech from interfering sounds based on oscillatory correlation. IEEE Trans. Neural Networks, 10(3):684-697.
44. Young, E. D. and Sachs, M. B., 1979. Representation of steady-state vowels in the temporal aspects of the discharge patterns of populations of auditory nerve fibers. J. Acoust. Soc. Am., 66(5):1381-1403.