Binaural dereverberation based on interaural coherence histograms

Journal of the Acoustical Society of America

Volumn 133, Issue 5, 2013, Pages 2767-2777

  Westermann, Adam ^a   Buchholz, Jörg M ^a   Dau, Torsten ^b  

^a MACQUARIE UNIVERSITY   (Australia)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC CONDITIONS; ACOUSTIC ENVIRONMENT; DEREVERBERATION; LARGE ROOMS; ON-LINE ESTIMATES; OVERALL QUALITY; REFERENCE SYSTEMS; SPECTRAL SUBTRACTION METHODS;

ALGORITHMS; REVERBERATION;

QUALITY CONTROL;

ACOUSTICS; ALGORITHM; AUDITORY STIMULATION; CONSTRUCTION WORK AND ARCHITECTURAL PHENOMENA; EVALUATION STUDY; FEMALE; HUMAN; MALE; MOTION; NONLINEAR SYSTEM; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SOUND; SOUND DETECTION; SPEECH; SPEECH PERCEPTION; STATISTICAL MODEL; TIME; VIBRATION;

ACOUSTIC STIMULATION; ACOUSTICS; ALGORITHMS; FACILITY DESIGN AND CONSTRUCTION; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; MOTION; NONLINEAR DYNAMICS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; SOUND; SOUND SPECTROGRAPHY; SPEECH ACOUSTICS; SPEECH PERCEPTION; TIME FACTORS; VIBRATION;

EID: 84877619373     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.4799007     Document Type: Article

References (50)

1. 3GPP TS26.073 (2008). ANSI-C code for the adaptive multi rate (AMR) speech codec., Technical Report (3rd Generation Partnership Project, Valbonne, France).
2. Akeroyd, M. A., and Guy, F. H. (2011). The effect of hearing impairment on localization dominance for single-word stimuli., J. Acoust. Soc. Am. 130, 312-323. 10.1121/1.3598466
3. Allen, J. B., Berkley, D. A., and Blauert, J. (1977). Multimicrophone signal-processing technique to remove room reverberation from speech signals., J. Acoust. Soc. Am. 62, 912-915. 10.1121/1.381621
4. Allen, J. B., and Rabiner, L. R. (1977). A unified approach to short-time Fourier analysis and synthesis., Proc. IEEE 65, 1558-1564. 10.1109/PROC.1977. 10770
5. Bech, S., and Zacharov, N. (2006). Perceptual Audio Evaluation: Theory, Method and Application (Wiley and Sons, West Sussex, UK), pp. 39-96.
6. Blauert, J. (1996). Spatial Hearing-Revised Edition: The Psychophysics of Human Sound Localization (The MIT Press, Cambridge, MA), pp. 271-287, 334-337.
7. Bradley, J. S., Sato, H., and Picard, M. (2003). On the importance of early reflections for speech in rooms., J. Acoust. Soc. Am. 113, 3233-3244. 10.1121/1.1570439
8. Brandenburg, K. (1987). Evaluation of quality for audio encoding at low bit rates., in Proceedings of the Audio Engineering Society Convention, London, UK, pp. 1-11.
9. Buchholz, J. M. (2007). Characterizing the monaural and binaural processes underlying reflection masking., Hear. Res. 232, 52-66. 10.1016/j.heares.2007.06.008
10. Christiansen, T. U., and Henrichsen, P. J. (2011). Objective evaluation of consonant-vowel pairs produced by native speakers of Danish., in Proceedings of Forum Acusticum 2011, Aalborg, Denmark, pp. 67-72.
11. Furuya, K., and Kataoka, A. (2007). Robust speech dereverberation using multichannel blind deconvolution with spectral subtraction., IEEE Trans. Audio, Speech, Lang. Process. 15, 1579-1591. 10.1109/TASL.2007.898456
12. Gillespie, B. W., Malvar, H. S., and Florncio, D. A. F. (2001). Speech dereverberation via maximum-kurtosis subband adaptive filtering., in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing 2001, Salt Lake City, UT, pp. 3701-3704.
13. Goetze, S., Albertin, E., Kallinger, M., Mertins, A., and Kammeyer, K.-D. (2010). Quality assessment for listening-room compensation algorithms., in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, pp. 2450-2453.
14. Goverts, S. T., Houtgast, T., and van Beek, H. H. (2001). The precedence effect for lateralization for the mild sensory neural hearing impaired., Hear. Res. 163, 82-92. 10.1016/S0378-5955(01)00385-9
15. Habets, E. A. P. (2010). Speech dereverberation using statistical reverberation models., in Speech Dereverberation, edited by, P. A. Naylor, and, N. D. Gaubitch, (Springer, London, UK), pp. 57-94.
16. Hansen, V., and Munch, G. (1991). Making recordings for simulation tests in the archimedes project., J. Audio Eng. Soc. 39, 768-774.
17. Hatziantoniou, P. D., and Mourjopoulos, J. N. (2000). Generalized fractional-octave smoothing of audio and acoustic responses., J. Audio Eng. Soc. 48, 259-280.
18. ITU (2003). RBS. 1534-2001, Method for the Subjective Assessment of Intermediate Quality Levels of Coding Systems (International Telecommunications Union, Geneva).
19. Jacobsen, F., and Roisin, T. (2000). The coherence of reverberant sound fields., J. Acoust. Soc. Am. 108, 204-210. 10.1121/1.429457
20. Jeub, M., Schäfer, M., and Vary, P. (2009). A binaural room impulse response database for the evaluation of dereverberation algorithms., in Proceedings of the 16th International Conference on Digital Signal Processing, Santorini, Greece, pp. 550-554.
21. Jeub, M., and Vary, P. (2010). Model-based dereverberation preserving binaural cues., IEEE Trans. Audio, Speech, Lang. Process. 18, 1732-1745. 10.1109/TASL.2010.2052156
22. Kates, J. M. (2008). Digital Hearing Aids (Plural, San Diego, CA), pp. 221-262.
23. Kokkinakis, K., and Loizou, P. C. (2011). Evaluation of objective measures for quality assessment of reverberant speech., in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, pp. 2420-2423.
24. Kollmeier, B., Peissig, J., and Hohmann, V. (1993). Binaural noise-reduction hearing aid scheme with real-time processing in the frequency domain., Scand. Audiol., Suppl. 38, 28-38.
25. Kuttruff, H. (2000). Room Acoustics, 4th ed. (Spon, London, UK), pp. 136-248.
26. Lebart, K., Boucher, J. M., and Denbigh, P. N. (2001). A new method based on spectral subtraction for speech dereverberation., Acta Acust. Acust. 87, 359-366.
27. Litovsky, R. Y., Colburn, S. H., Yost, W. A., and Guzman, S. J. (1999). The precedence effect., J. Acoust. Soc. Am. 106, 1633-1654. 10.1121/1.427914
28. Ljung, R., and Kjellberg, A. (2010). Long reverberation time decreases recall of spoken information., Build. Acoust. 16, 301-311. 10.1260/ 135101009790291273
29. Lorho, G. (2010). Perceived quality evaluation-an application to sound reproduction over headphones., Ph.D. thesis, Aalto University, Finland.
30. Martin, R. (2001). Small microphone arrays with postfilters for noise and acoustic echo reduction., in Microphone Arrays, edited by, M. Brandstein, and, D. Ward, (Springer, London, UK), pp. 255-280.
31. McCowan, I. A., and Bourlard, H. (2003). Microphone array post-filter based on noise field coherence., IEEE Trans. Audio, Speech, Lang. Process. 11, 709-716. 10.1109/TSA.2003.818212
32. Moncur, J., and Dirks, D. (1967). Binaural and monaural speech intelligibility in reverberation., J. Speech Hear. Res. 10, 186-195.
33. Moore, B. C. J. (2012). An Introduction to the Psychology of Hearing (Emerald, Bingley, UK), pp. 67-202.
34. Mourjopoulos, J. (1992). Digital equalization of room acoustics., in Proceedings of the Audio Engineering Society Convention 1992, Vienna, Austria, pp. 884-900.
35. Müller, S., and Massarani, P. (2001). Transfer-function measurement with sweeps., J. Acoust. Soc. Am. 49, 443-471.
36. Naylor, P. A., and Gaubitch, N. D. (2010). Speech Dereverberation (Springer, London, UK), pp. 57-387.
37. Neely, S. T., and Allen, J. B. (1979). Invertibility of a room impulse response., J. Acoust. Soc. Am. 66, 165-169. 10.1121/1.383069
38. Roman, N., and Woodruff, J. (2011). Intelligibility of reverberant noisy speech with ideal binary masking., J. Acoust. Soc. Am. 130, 2153-2161. 10.1121/1.3631668
39. Salomons, A. (1995). Coloration and binaural decoloration of sound due to reflections., Ph.D. thesis, Technical University Delft, Netherlands.
40. Scharrer, R. (2010). Binaurale akustische umgebungserkennung. (Binaural acoustic environment recognition), in Proceedings of the German Annual Conference on Acoustics (DAGA), Berlin, Germany, pp. 625-626.
41. Simmer, K., Fischer, S., and Wasiljeff, A. (1994). Suppression of coherent and incoherent noise using a microphone array., Ann. Telecommun. 49, 439-446.
42. Tsilfidis, A., and Mourjopoulos, J. (2009). Signal-dependent constraints for perceptually motivated suppression of late reverberation., Signal Process. 90, 959-965. 10.1016/j.sigpro.2009.09.020
43. Tsilfidis, A., and Mourjopoulos, J. (2011). Blind single-channel suppression of late reverberation based on perceptual reverberation modeling., J. Acoust. Soc. Am. 129, 1439-1451. 10.1121/1.3533690
44. Tsilfidis, A., Mourjopoulos, J., and Tsoukalas, D. (2008). Blind estimation and suppression of late reverberation utilising auditory masking., in Hands-Free Speech Communication and Microphone Arrays (HSCMA), Trento, Italy, pp. 208-211.
45. Vesa, S. (2009). Binaural sound source distance learning in rooms., IEEE Trans. Audio, Speech, Lang. Process. 17, 1498-1507. 10.1109/TASL.2009.2022001
46. Wen, J., Gaubitch, N. D., Habets, E., Myatt, T., and Naylor, P. A. (2006). Evaluation of speech dereverberation algorithms using the mardy database., in Proceedings of the International Workshop on Acoustic Echo and Noise Control, (IWAENC), Paris, France.
47. Wu, M., and Wang, D. (2006). A two-stage algorithm for one-microphone reverberant speech enhancement., IEEE Trans. Audio, Speech, Lang. Process. 14, 774-784. 10.1109/TASL.2006.872616
48. Yegnanarayana, B., Avendano, C., Hermansky, H., and Murthy, P. S. (1999). Speech enhancement using linear prediction residual., Speech Commun. 28, 25-42. 10.1016/S0167-6393(98)00070-3
49. Zahorik, P. (2005). Auditory distance perception in humans: A summary of past and present research., Acta Acust. Acust. 91, 409-420.
50. Zurek, P. M. (1979). Measurements of binaural echo suppression., J. Acoust. Soc. Am. 66, 1750-1757. 10.1121/1.383648