Demodulation as probabilistic inference

IEEE Transactions on Audio, Speech and Language Processing

Volumn 19, Issue 8, 2011, Pages 2398-2411

  Turner, Richard E ^a   Sahani, Maneesh ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Carrier; demodulation; envelope; inference; learning

Indexed keywords

AMPLITUDE DEMODULATION; BROAD BANDS; CARRIER; ENVELOPE; ERROR BARS; ILL POSED PROBLEM; INFERENCE; LEARNING; MISSING DATA; PRIOR INFORMATION; PROBABILISTIC INFERENCE; SOFT CONSTRAINT; STOPBAND; SUB-BANDS;

DEMODULATION; UNCERTAINTY ANALYSIS;

OPTICAL VARIABLES MEASUREMENT;

EID: 80052637232     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2011.2135852     Document Type: Article

References (36)

1. H. Dudley, "Remaking speech," J. Acoust. Soc. Amer., vol. 11, no. 2, pp. 169-177, 1939.
2. J. L. Flanagan and R. M. Golden, "Phase vocoder," Bell Syst. Tech. J., pp. 1493-1509, 1966.
3. B. E. D. Kingsbury, N. Morgan, and S. Greenberg, "Robust speech recognition using the modulation spectrogram," Speech Commun., vol. 25, pp. 117-132, 1998. (Pubitemid 128413637)
4. D. Ellis, "An introduction to signal processing for speech," in The Handbook of Phonetic Science, W. Hardcastle and J. Laver, Eds., 2nd ed. New York: Blackwell Handbooks in Linguistics, 2008.
5. N. Orio, Music Retrieval: A Tutorial and Review. Boston, MA: Now, 2006.
6. S. M. Schimmel, "Theory of modulation frequency analysis and modulation filtering, with applications to hearing devices," Ph.D. dissertation, University of Washington, Seattle, 2007.
7. G. Hu, "Monaural speech segregation based on pitch tracking and amplitude modulation," IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1135-1150, Sep. 2004.
8. L. E. Atlas and C. Janssen, "Coherent modulation spectral filtering for single-channel music source separation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2005, pp. 461-464.
9. P. C. Loizou, M. Dorman, and Z. Tu, "On the number of channels needed to understand speech," J. Acoust. Soc. Amer., vol. 104, no. 4, pp. 2097-2103, 1999.
10. J. L. Flanagan, "Parametric coding of speech spectra," J. Acoust. Soc. Amer., vol. 68, pp. 412-419, 1980. (Pubitemid 11227335)
11. R. Drullman, J. M. Festen, and R. Plomp, "Effect of temporal envelope smearing on speech reception," J. Acoust. Soc. Amer., vol. 95, no. 2, pp. 1053-1064, 1994. (Pubitemid 24056370)
12. R. Shannon, F.-G. Zeng, V. Kamath, J. Wygonski, and M. Ekelid, "Speech recognition with primarily temporal cues," Science, vol. 270, pp. 303-304, 1995.
13. M. F. Dorman, P. C. Loizou, and D. Rainey, "Speech intelligibility as a function of the number of channels of stimulation for signal processors using sine-wave and noise-band outputs," J. Acoust. Soc. Amer., vol. 102, no. 4, pp. 2403-2411, 1997. (Pubitemid 27441393)
14. L. Xu and B. E. Pfingst, "Relative importance of temporal envelope and fine structure in lexical-tone perception (L)," J. Acoust. Soc. Amer., vol. 114, no. 6, pp. 3024-3027, 2003. (Pubitemid 37553613)
15. Z. M. Smith, B. Delgutte, and A. J. Oxenham, "Chimaeric sounds reveal dichotomies in auditory perception," Nature, vol. 416, no. 6876, pp. 87-90, 2002. (Pubitemid 34215405)
16. M. G. Heinz and J. Swaminathan, "Quantifying envelope and finestructure coding in auditory nerve responses to chimaeric speech," J. Assoc. Res. Otolaryngol., vol. 10, no. 3, pp. 407-423, 2009.
17. J. Dugundji, "Envelopes and pre-envelopes of real waveforms," IEEE Trans. Inf. Theory, vol. IT-4, no. 1, pp. 53-57, Mar. 1958.
18. O. Ghitza, "On the upper cutoff frequency of the auditory critical-band envelope detectors in the context of speech perception," J. Acoust. Soc. Amer., vol. 110, no. 3, pp. 1628-1640, 2001.
19. F. G. Zeng, K. Nie, S. Liu, G. Stickney, E. Del Rio, Y. Y. Kong, and H. Chen, "On the dichotomy in auditory perception between temporal envelope and fine structure cues (L)," J. Acoust. Soc. Amer., vol. 116, no. 3, pp. 1351-1354, 2004. (Pubitemid 39202546)
20. G. Sell and M. Slaney, "The information content of demodulated speech," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2010, pp. 5470-5473.
21. P. J. Loughlin and B. Tacer, "On the amplitude- and frequency-modulation decomposition of signals," J. Acoust. Soc. Amer., vol. 100, no. 3, pp. 1594-1601, 1996. (Pubitemid 26307552)
22. G. Sell and M. Slaney, "Solving demodulation as an optimization problem," IEEE Trans. Audio, Speech Lang. Process., vol. 18, no. 8, pp. 2051-2066, Nov. 2010.
23. P. Clark and L. E. Atlas, "Time-frequency coherent modulation filtering of nonstationary signals," IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4323-4332, Nov. 2009.
24. P. Clark and L. E. Atlas, "Modulation decompositions for the interpolation of long gaps in acoustic signals," in IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2008, pp. 3741-3744.
25. R. Libbey, Signal and Image Processing Sourcebook. New York: Springer, 1994.
26. D. Vakman, "On the analytic signal, the Teager-Kaiser energy algorithm, and other methods for defining amplitude and frequency," IEEE J. Signal Process., vol. 44, no. 4, pp. 791-797, Apr. 1996. (Pubitemid 126777913)
27. L. E. Atlas, Q. Li, and J. Thompson, "Homomorphic modulation spectra," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2004, vol. 2, pp. 17-21.
28. R. E. Turner and M. Sahani, "Probabilistic amplitude demodulation," in Proc. Ind. Compon. Anal. Signal Separ., 2007, pp. 544-551.
29. R. E. Turner and M. Sahani, "Statistical inference for single- and multiband probabilistic amplitude demodulation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2010, pp. 5466-5469.
30. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
31. D. J. C. MacKay, Information Theory, Inference, and Learning Algorithms. Cambridge, U.K.: Cambridge Univ. Press, 2003.
32. P. Abrahamsen, "A review of Gaussian random fields and correlation functions," Norwegian Computing Centre, Oslo, Norway, Tech. Rep. 917, 1997.
33. C. E. Rasmussen and C. K. I. Williams, Gaussian Processes for Machine Learning. Cambridge, MA: MIT Press, 2006.
34. R. E. Turner, "Statistical Models for Natural Sounds," Ph.D. dissertation, Gatsby Comput. Neurosci. Unit, Univ. College London, London, U.K., 2010.
35. K. Atkinson, An Introduction to Numerical Analysis. New York: Wiley, 1988.
36. A. Bultheel and M. V. Barel, "Lanczos algorithm," in Linear Algebra, Rational Approximation and Orthogonal Polynomials. Amsterdam, The Netherlands: Elsevier, 1997, vol. 6, pp. 99-133.