A multichannel diffuse power estimator for dereverberation in the presence of multiple sources

Eurasip Journal on Audio, Speech, and Music Processing

Volumn 2015, Issue 1, 2015, Pages 1-14

  Braun, Sebastian ^a   P Habets, Emanuël A ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Dereverberation; Diffuse power estimation; Multichannel Wiener filter

Indexed keywords

ACOUSTIC FIELDS; ACOUSTICS; POWER SPECTRAL DENSITY; REVERBERATION; SPECTRAL DENSITY;

DEREVERBERATION; DIFFUSE SOUND FIELDS; MULTICHANNEL WIENER FILTER; MULTIPLE MICROPHONES; NOISY ENVIRONMENT; POWER ESTIMATIONS; POWER SPECTRAL DENSITIES (PSD); ROOM IMPULSE RESPONSE;

ACOUSTIC NOISE;

EID: 84949192713     PISSN: 16874714     EISSN: 16874722     Source Type: Journal    
DOI: 10.1186/s13636-015-0077-2     Document Type: Article

References (47)

1. PA Naylor, ND Gaubitch (eds.), Speech Dereverberation (Springer, London, UK, 2010).
2. M Miyoshi, Y Kaneda, Inverse filtering of room acoustics. IEEE Trans. Speech Audio Process. 36(2), 145–152 (1988).
3. I Kodrasi, S Doclo, in ICASSP. Robust partial multichannel equalization techniques for speech dereverberation (Kyoto, Japan, 2012).
4. F Lim, PA Naylor, in ICASSP. Robust low-complexity multichannel equalization for dereverberation, (2013), pp. 689–693.
5. Y Huang, J Benesty, J Chen, A blind channel identification-based two-stage approach to separation and dereverberation of speech signals in a reverberant environment. IEEE Trans. Speech Audio Process. 13(5), 882–895 (2005).
6. M Delcroix, T Hikichi, M Miyoshi, Dereverberation and denoising using multichannel linear prediction. Audio Speech Lang. Process. IEEE Trans. 15(6), 1791–1801 (2007).
7. T Nakatani, T Yoshioka, K Kinoshita, M Miyoshi, J Biing-Hwang, Speech dereverberation based on variance-normalized delayed linear prediction. IEEE Trans. Audio Speech Lang. Process. 18(7), 1717–1731 (2010).
8. T Yoshioka, T Nakatani, Generalization of multi-channel linear prediction methods for blind MIMO impulse response shortening. IEEE Trans. Audio, Speech, Lang. Process. 20(10), 2707–2720 (2012).
9. M Togami, Y Kawaguchi, R Takeda, Y Obuchi, N Nukaga, Optimized speech dereverberation from probabilistic perspective for time varying acoustic transfer function. IEEE Trans. Audio, Speech, Lang. Process. 21(7), 1369–1380 (2013).
10. K Kokkinakis, PC Loizou, The impact of reverberant self-masking and overlap-masking effects on speech intelligibility by cochlear implant listeners (L). J. Acoust. Soc. Am. 130(3), 1099–1102 (2011).
11. K Lebart, JM Boucher, PN Denbigh, A new method based on spectral subtraction for speech de-reverberation. Acta Acoustica. 87, 359–366 (2001).
12. EAP Habets, Single- and multi-microphone speech dereverberation using spectral enhancement (PhD thesis, Technische Universiteit Eindhoven, 2007). http://alexandria.tue.nl/extra2/200710970.pdf.
13. X Bao, J Zhu, An improved method for late-reverberant suppression based on statistical models. Speech Commun. 55(9), 932–940 (2013).
14. S Mosayyebpour, M Esmaeili, TA Gulliver, Single-microphone early and late reverberation suppression in noisy speech. IEEE Trans. Audio Speech Lang. Process. 21(2), 322–335 (2013).
15. JD Polack, La transmission de l’énergie sonore dans les salles (PhD thesis, Université du Maine, Le Mans, France, 1988).
16. EAP Habets, S Gannot, I Cohen, Late reverberant spectral variance estimation based on a statistical model. IEEE Signal Process. Lett. 16(9), 770–774 (2009).
17. O Thiergart, M Taseska, EAP Habets, An informed MMSE filter based on multiple instantaneous direction-of-arrival estimates, (Marrakesh, Morocco, 2013).
18. O Thiergart, O Del Galdo, EAP Habets, in ICASSP. Signal-to-reverberant ratio estimation based on the complex spatial coherence between omnidirectional microphones, (2012).
19. O Thiergart, EAP Habets, in ICASSP. An informed LCMV filter based on multiple instantaneous direction-of-arrival estimates, (2013).
20. S Braun, EAP Habets, in EUSIPCO. Dereverberation in noisy environments using reference signals and a maximum likelihood estimator (IEEE, 2013).
21. A Kuklasinski, S Doclo, SH Jensen, J Jensen, in EUSIPCO. Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids (Lisbon, Portugal, 2014), pp. 61–65.
22. R Martin, Noise power spectral density estimation based on optimal smoothing and minimum statistics. IEEE Trans. Speech Audio Process. 9, 504–512 (2001).
23. T Gerkmann, RC Hendriks, Unbiased MMSE-based noise power estimation with low complexity and low tracking delay. IEEE Trans. Audio, Speech, Lang. Process. 20(4), 1383–1393 (2012).
24. M Souden, J Chen, J Benesty, S Affes, An integrated solution for online multichannel noise tracking and reduction. IEEE Trans. Audio, Speech, Lang. Process. 19(7), 2159–2169 (2011).
25. M Taseska, EAP Habets, in IWAENC. MMSE-based blind source extraction in diffuse noise fields using a complex coherence-based a priori SAP estimator, (2012).
26. F Jacobsen, T Roisin, The coherence of reverberant sound fields. J. Acoust. Soc. Am. 108, 204–210 (2000).
27. S Gergen, C Borss, N Madhu, R Martin, in Proc. IEEE Intl. Conf. on Signal Processing, Communication and Computing (ICSPCC). An optimized parametric model for the simulation of reverberant microphone signals (IEEE,Hong Kong, 2012), pp. 154–157.
28. MS Brandstein, DB Ward (eds.), Microphone Arrays: Signal Processing Techniques and Applications (Springer, Berlin, Germany, 2001).
29. Z Chen, GK Gokeda, Y Yu, Introduction to Direction-of-Arrival Estimation (Artech House, London, UK, 2010).
30. TE Tuncer, B Friedlander (eds.), Classical and Modern Direction-of-Arrival Estimation (Academic Press, Burlington, USA, 2009).
31. EAP Habets, Single- and multi-microphone speech dereverberation using spectral enhancement (Ph.D. Thesis, Technische Universiteit Eindhoven, 2007).
32. O Thiergart, G Del Galdo, EAP Habets, On the spatial coherence in mixed sound fields and its application to signal-to-diffuse ratio estimation. J. Acoust. Soc. Am. 132(4), 2337–2346 (2012).
33. M Jeub, CM Nelke, C Beaugeant, P Vary, in EUSIPCO. Blind Estimation of the Coherent-to-Diffuse Energy Ratio From Noisy Speech Signals (Barcelona, Spain, 2011).
34. ND Gaubitch, HW Löllmann, M Jeub, TH Falk, PA Naylor, P Vary, M Brookes, in IWAENC. Performance Comparison of Algorithms for Blind Reverberation Time Estimation from Speech (Aachen, Germany, 2012).
35. O Thiergart, EAP Habets, in IWAENC. Sound field model violations in parametric spatial sound processing, (2012).
36. S Markovich, S Gannot, I Cohen, Multichannel eigenspace beamforming in a reverberant noisy environment with multiple interfering speech signals. IEEE Trans. Audio, Speech, Lang. Process. 17(6), 1071–1086 (2009).
37. S Markovich-Golan, S Gannot, I Cohen, in IEEEI. A weighted multichannel Wiener filter for multiple sources scenario, (2012).
38. Markovich-Golan, S, S Gannot, I Cohen, A sparse blocking matrix for multiple constraints GSC beamformer (IEEE, Kyoto, Japan, 2012).
39. HQ Dam, S Nordholm, HH Dam, SY Low, in Asia-Pacific Conference on Communications. Maximum likelihood estimation and cramer-rao lower bounds for the multichannel spectral evaluation in hands-free communication (IEEE,Perth, Australia, 2005).
40. EAP Habets, I Cohen, S Gannot, Generating nonstationary multisensor signals under a spatial coherence constraint. J. Acoust. Soc. Am. 124(5), 2911–2917 (2008).
41. R Roy, T Kailath, ESPRIT - estimation of signal parameters via rotational invariance techniques. IEEE Trans. Acoust., Speech, Signal Process. 37, 984–995 (1989).
42. JB Allen, DA Berkley, Image method for efficiently simulating small-room acoustics. J. Acoust. Soc. Am. 65(4), 943–950 (1979).
43. EB Union, Sound Quality Assessment Material Recordings for Subjective Tests. http://tech.ebu.ch/publications/sqamcd.
44. ITU-T, Perceptual Evaluation of Speech Quality (PESQ), an Objective Method for End-to-end Speech Quality Assessment of Narrowband Telephone Networks and Speech Codecs. International Telecommunications Union (ITU-T), 2001.
45. N Kitawaki, H Nagabuchi, K Itoh, Objective quality evaluation for low bit-rate speech coding systems. IEEE J. Sel. Areas Commun. 6(2), 262–273 (1988).
46. T Falk, C Zheng, W-Y Chan, A non-intrusive quality and intelligibility measure of reverberant and dereverberated speech. IEEE Trans. Audio, Speech, Lang. Process. 18(7), 1766–1774 (2010).
47. JF Santos, M Senoussaoui, TH Falk, in IWAENC. An updated objective intelligibility estimation metric for normal hearing listeners under noise and reverberation (Antibes, France, 2014).