Temporal dynamics for blind measurement of room acoustical parameters

IEEE Transactions on Instrumentation and Measurement

Volumn 59, Issue 4, 2010, Pages 978-989

  Falk, Tiago H ^a   Chan, Wai Yip ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Delta cepstrum; Direct to reverberation ratio; Modulation spectrum; Reverberation time; Temporal dynamics

Indexed keywords

CEPSTRUM; DELTA CEPSTRUM; MODULATION SPECTRUM; REVERBERATION TIME; TEMPORAL DYNAMICS;

ARCHITECTURAL ACOUSTICS; DYNAMIC PROGRAMMING; ESTIMATION; FREQUENCY BANDS; MODULATION;

REVERBERATION;

EID: 77949423782     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2009.2024697     Document Type: Article

References (44)

1. T. Halmrast, "Sound coloration from (very) early reflections," in Proc. Meeting Acoust. Soc. Amer., Jun. 2001. 7 p. [Online]. Available: http:// www.akutek.info/Papers/TH-Coloration2001.pdf
2. P. Rubak, "Coloration in room impulse responses," in Proc. Joint Baltic-Nordic Acoust. Meet., Jun. 2004, pp. 1-14.
3. L. Couvreur and C. Couvreur, "Blind model selection for automatic speech recognition in reverberant environments," J. VLSI Signal Process., vol. 36, no. 2/3, pp. 189-203, Feb. 2004.
4. J. Gammal and R. Goubran, "Combating reverberation in speaker verification," in Proc. IEEE Conf. Instrum. Meas. Technol., May 2005, pp. 687-690.
5. R. Ratnam, D. Jones, B. Wheeler, W. O'Brien, C. Lansing, and A. Feng, "Blind estimation of reverberation time," J. Acoust. Soc. Amer., vol.114, no.5, pp. 2877-2892, Nov. 2003.
6. H. Lollmann and P. Vary, "Estimation of the reverberation time in noisy environments," in Proc. Int. Workshop Acoust. Echo Noise Control, Sep. 2008. 4 p. [Online]. Available: http://www.engr.washington.edu/epp/ iwaenc2008/proceedings/contents/papers/9033.
7. M. Wu and D. Wang, "A pitch-based method for the estimation of short reverberation time," Acta Acust./Acustica, vol.92, no.2, pp. 337-339, Mar./Apr. 2006.
8. B. Gillespie, H. Malvar, and D. Florencio, "Speech dereverberation via maximum-kurtosis subband adaptive filtering," in Proc. Int. Conf. Acoust., Speech, Signal Process., May 2001, pp. 3701-3704.
9. N. Gaubitch, D. Ward, and P. Naylor, "Statistical analysis of autoregressive modeling of reverberant speech," J. Acoust. Soc. Amer., vol.120, no.6, pp. 4031-4039, Dec. 2006.
10. B. Yegnanarayana and P. Murthy, "Enhancement of reverberant speech using LP residual signal," IEEE Trans. Speech Audio Process., vol.8, no.3, pp. 267-281, May 2000.
11. E. Habets, N. Gaubitch, and P. Naylor, "Temporal selective dereverberation of noisy speech using one microphone," in Proc. Int. Conf. Acoust., Speech, Signal Process., Mar. 2008, pp. 4577-4580.
12. T. H. Falk, H. Yuan, and W.-Y. Chan, "Spectro-temporal processing for blind estimation of reverberation time and single-ended quality measurement of reverberant speech," in Proc. Int. Conf. Spoken Lang. Process., Sep. 2007, pp. 514-517.
13. H. Kuttruff, Room Acoustics, 4th ed. New York: Elsevier, 2000.
14. J. Allen and D. Berkley, "Image method for efficiently simulating smallroom acoustics," J. Acoust. Soc. Amer., vol.65, no.4, pp. 943-951, Apr. 1979.
15. W. Sabine, Collected Papers on Acoustics. Cambridge, MA: Harvard Univ. Press, 1922.
16. M. Schroeder, "New method of measuring reverberation time," J. Acoust. Soc. Amer., vol.37, no.3, pp. 409-412, Mar. 1965.
17. Acoustics-Measurement of the Reverberation Time of Rooms With Reference to Other Acoustical Parameters, 2000. ISO3382.
18. T. Curtis, "Characterization of room coloration by moments of room spectral response," J. Acoust. Soc. Amer., vol. 58, no. S1, p. S78, Nov. 1975.
19. J. Jetztz, "Critical distance measurement of rooms from the sound energy spectral envelope," J. Acoust. Soc. Amer., vol.65, no.5, pp. 1204-1211, May 1979.
20. S. Bech, "Timbral aspects of reproduced sound in small rooms," J. Acoust. Soc. Amer., vol.99, no.6, pp. 3539-3549, Jun. 1996.
21. J. Wen, N. Gaubitch, E. Habets, T. Myatt, and P. Naylor, "Evaluation of speech dereverberation algorithms using the MARDY database," in Proc. Int. Workshop Acoust. Echo Noise Control, 2006, pp. 1-4.
22. Subjective Test Methodology for Evaluating Speech Communication Systems That Include Noise Suppression Algorithms, 2003. ITU-T P.835.
23. H. Hirsch and H. Finster, "The simulation of realistic acoustic input scenarios for speech recognition systems," in Proc. Interspeech, 2005, pp. 2697-2700.
24. ITU-T Software Tool Library, Aug. 2005. ITU-T Rec. G.191.
25. Objective Measurement of Active Speech Level, 1993. ITU-T P.56.
26. W. Ward, G. Elko, R. Kubli, and C. McDougald, "The new varechoic chamber at AT&T Bell Labs," in Proc. Wallace Clement Sabine Centennial Symp., 1994, pp. 343-346.
27. X. Huang, A. Acero, and H.-W. Hon, Spoken Language Processing. Englewood Cliffs, NJ: Prentice-Hall, 2001.
28. J. Picone, "Signal modeling techniques in speech recognition," Proc. IEEE, vol.81, no.9, pp. 1215-1247, Sep. 1993.
29. V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995.
30. S. Haykin, Neural Networks: A Comprehensive Foundation. Englewood Cliffs, NJ: Prentice-Hall, 1999.
31. M. E. Tipping, "Sparse Bayesian learning and the relevance vector machine," J. Mach. Learn. Res., vol.1, pp. 211-244, Jun. 2001.
32. M. Slaney, "An efficient implementation of the Patterson-Holdsworth auditory filterbank," Perception Group, Apple Computer, Inc., Cupertino, CA, Apple Computer Tech. Rep. No.35, 1993.
33. B. Glasberg and B. Moore, "Derivation of auditory filter shapes from notched-noise data," Hear. Res., vol. 47, no. 1/2, pp. 103-138, Aug. 1990.
34. T. Dau, D. Puschel, and A. Kohlrausch, "A quantitative model of the effective signal processing in the auditory system. I-Model structure," J. Acoust. Soc. Amer., vol.99, no.6, pp. 3615-3622, Jun. 1996.
35. R. Drullman, J. Festen, and R. Plomp, "Effect of temporal envelope smearing on speech reception," J. Acoust. Soc. Amer., vol.95, no.2, pp. 1053- 1064, Feb. 1994.
36. R. Drullman, J. Festen, and R. Plomp, "Effect of reducing slow temporal modulations on speech reception," J. Acoust. Soc. Amer., vol.95, no.5, pp. 2670-2680, May 1994.
37. T. Arai, M. Pavel, H. Hermansky, and C. Avendano, "Intelligibility of speech with filtered time trajectories of spectral envelopes," in Proc. Int. Conf. Spoken Lang. Process., Oct. 1996, pp. 2490-2493.
38. Z. Smith, B. Delgutte, and A. Oxenham, "Chimaeric sounds reveal dichotomies in auditory perception," Nature, vol.416, no.6876, pp. 87-90, Mar. 2002.
39. K. Pearson, "Contribution to the mathematical theory of evolution," Philos. Trans. Roy. Soc. London A, Math. Phys. Sci., vol.185, pp. 71- 110, 1894.
40. Single-Ended Method for Objective Speech Quality Assessment in Narrowband Telephony Applications, 2004. ITU-T P.563.
41. L. Malfait, J. Berger, and M. Kastner, "P.563-The ITU-T standard for single-ended speech quality assessment," IEEE Trans. Audio, Speech Lang. Process., vol.14, no.6, pp. 1924-1934, Nov. 2006.
42. A Silence Compression Scheme for G.729 Optimized for Terminals Conforming to Recommendation V.70, 1996.
43. Adaptive Multi-Rate (AMR) Speech Codec: Voice Activity Detector (VAD), Release 6, Dec. 2004. 3GPP2 TS 26.094.
44. Perceptual Evaluation of Speech Quality: An Objective Method for Endto- End Speech Quality Assessment of Narrow-Band Telephone Networks and Speech Codecs, 2001. ITU-T P.862.