EVALUATION OF SPEECH DEREVERBERATION ALGORITHMS USING THE MARDY DATABASE

Dereverberation is a growing area of research with many new algorithms appearing in the literature. However, there are still no unanimously accepted tools for evaluation of these algorithms. In this paper, we introduce the Multichannel Acoustic Reverberation Database at York (MARDY) containing real measured multichannel room impulse responses. We demonstrate its use for the evaluation of dereverberation algorithms using three recent multichannel methods. Furthermore, psychoacoustic issues regarding the performance evaluation of dereverberation algorithms are discussed.

[1]  Heinrich Kuttruff,et al.  Room acoustics , 1973 .

[2]  Patrick A. Naylor,et al.  Multi-microphone speech dereverberation using spatio-temporal averaging , 2004, 2004 12th European Signal Processing Conference.

[3]  Tomohiro Nakatani,et al.  Blind dereverberation of single channel speech signal based on harmonic structure , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[4]  Stephan Weiss,et al.  Multichannel equalization in subbands , 1999, Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452).

[5]  A. Gray,et al.  Distance measures for speech processing , 1976 .

[6]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[7]  Jont B. Allen,et al.  Image method for efficiently simulating small‐room acoustics , 1976 .

[8]  Patrick A. Naylor,et al.  An evaluation measure for reverberant speech using decay tail modelling , 2006, 2006 14th European Signal Processing Conference.

[9]  James P. Reilly,et al.  Blind deconvolution using Bayesian methods with application to the dereverberation of speech , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[10]  Yannick Mahieux,et al.  Analysis of noise reduction and dereverberation techniques based on microphone arrays with postfiltering , 1998, IEEE Trans. Speech Audio Process..

[11]  Andrew Sekey,et al.  An Objective Measure for Predicting Subjective Quality of Speech Coders , 1992, IEEE J. Sel. Areas Commun..

[12]  Emanuel A. P. Habets,et al.  Multi-channel speech dereverberation based on a statistical model of late reverberation , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[13]  M. Schroeder.  New Method of Measuring Reverberation Time , 1965 .

[14]  John Vanderkooy,et al.  Aspects of MLS Measuring Systems , 1994 .

[15]  Javier Ortega-Garcia,et al.  Speech dereverberation and noise reduction with a combined microphone array approach , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[16]  METHODS FOR SUBJECTIVE DETERMINATION OF TRANSMISSION QUALITY Summary , 2022 .