On the spatial coherence in mixed sound fields and its application to signal-to-diffuse ratio estimation

Journal of the Acoustical Society of America

Volumn 132, Issue 4, 2012, Pages 2337-2346

  Thiergart, Oliver ^a   Del Galdo, Giovanni ^a   Habets, Emanuël A P ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ABSOLUTE VALUES; COMPLEX FUNCTIONS; DIRECTIONAL MICROPHONES; DIRECTIONOF-ARRIVAL (DOA); FIRST-ORDER; MEASUREMENT RESULTS; POWER RATIO; PROCESSING MODEL; REVERBERANT ENVIRONMENT; SPATIAL COHERENCE;

ACOUSTIC FIELDS; DIRECTION OF ARRIVAL; MICROPHONES;

ESTIMATION;

ACOUSTICS; ALGORITHM; ARTICLE; INSTRUMENTATION; MOTION; PRESSURE; REPRODUCIBILITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SOUND; THEORETICAL MODEL; TIME; TRANSDUCER; VIBRATION;

ACOUSTICS; ALGORITHMS; MODELS, THEORETICAL; MOTION; PRESSURE; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; SOUND; TIME FACTORS; TRANSDUCERS; VIBRATION;

EID: 84867393369     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.4750493     Document Type: Article

References (23)

1. P. A. Naylor, E. A. P. Habets, J. Y.-C. Wen, and N. D. Gaubitch, Models, measurement and evaluation., in Speech Dereverberation, edited by, P. A. Naylor, and, N. D. Gaubitch, (Springer, London, 2010), Chap., pp. 21-56.
2. P. J. Bloom, Evaluation of a dereverberation technique with normal and impaired listeners., Br. J. Audiol. 16, 167-176 (1982). 10.3109/ 03005368209081494
3. M. Jeub, M. Schafer, T. Esch, and P. Vary, Model-based dereverberation preserving binaural cues., IEEE Trans. Audio, Speech, Lang. Process. 18, 1732-1745 (2010). 10.1109/TASL.2010.2052156
4. V. Pulkki, Spatial sound reproduction with directional audio coding., J. Audio Eng. Soc. 55, 503-516 (2007).
5. D. P. Jarrett, E. A. P. Habets, M. R. P. Thomas, N. D. Gaubitch, and P. A. Naylor, Dereverberation performance of rigid and open spherical microphone arrays: Theory simulation., in Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA) (2011), pp. 145-150.
6. S. H. Nielsen, Auditory distance perception in different rooms., J. Acoust. Soc. Am. 41, 755-770 (1993).
7. P. Zahorik, Assessing auditory distance perception using virtual acoustics., J. Acoust. Soc. Am. 111, 1832-1846 (2002). 10.1121/1.1458027
8. P. Zahorik, Direct-to-reverberant energy ratio sensitivity., J. Acoust. Soc. Am. 112, 2110-2117 (2002). 10.1121/1.1506692
9. E. Larsen, N. Iyer, C. R. Lansing, and A. S. Feng, On the minimum audible difference in direct-to-reverberant energy ratio., J. Acoust. Soc. Am. 124, 450-461 (2008). 10.1121/1.2936368
10. E. Larsen, C. D. Schmitz, C. R. Lansing, W. D. OBrien, Jr., B. C. Wheeler, and A. S. Feng, Acoustic scene analysis using estimated impulse responses., in Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers (2003), Vol. 1, pp. 725-729.
11. R. K. Cook, R. V. Waterhouse, R. D. Berendt, S. Edelman, and M. C. Thompson, Jr., Measurement of correlation coefficients in reverberant sound fields., J. Acoust. Soc. Am. 27, 1072-1077 (1955). 10.1121/1.1908122
12. F. Jacobsen, The diffuse sound field., Ph.D. thesis, The Acoustics Laboratory, Technical University of Denmark, 1979.
13. G. W. Elko, Spatial coherence functions for differential microphones in isotropic noise fields., in Microphone Arrays: Signal Processing Techniques and Applications, edited by, M. Brandstein, and, D. Ward, (Springer, Berlin, 2001), Chap., pp. 61-85.
14. M. Kuster, Spatial correlation and coherence in reverberant acoustic fields: Extension to microphones with arbitrary first-order directivity., J. Acoust. Soc. Am. 123, 154-162 (2008). 10.1121/1.2812592
15. O. Thiergart, G. Del Galdo, and E. A. P. Habets, Diffuseness estimation with high temporal resolution via spatial coherence between virtual first-order microphones., in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (2011), pp. 217-220.
16. F. Jacobsen and T. Roisin, The coherence of reverberant sound fields., J. Acoust. Soc. Am. 108, 204-210 (2000). 10.1121/1.429457
17. A. G. Piersol, Use of coherence and phase data between two receivers in evaluation of noise environments., J. Sound Vib. 56, 215-228 (1978). 10.1016/S0022-460X(78)80016-9
18. M. Jeub, C. M. Nelke, C. Beaugeant, and P. Vary, Blind estimation of the coherent-to-diffuse energy ratio from noisy speech signals., in 19th European Signal Processing Conference (EUSIPCO 2011) (2011), pp. 1347-1351.
19. O. Thiergart, G. Del Galdo, and E. A. P. Habets, Signal-to-reverberant ratio estimation based on the complex spatial coherence between omnidirectional microphones., in IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) (2012), pp. 309-312.
20. Y. Hioka, K. Niwa, S. Sakauchi, K. Furuya, and Y. Haneda, Estimating direct-to-reverberant energy ratio based on spatial correlation model segregating direct sound and reverberation., in IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) (2010), pp. 149-152.
21. M. Kuster, Estimating the direct-to-reverberant energy ratio from the coherence between coincident pressure and particle velocity., J. Acoust. Soc. Am. 130, 3781-3787 (2011). 10.1121/1.3658446
22. G. W. Elko, Superdirectional microphone arrays., in Acoustic Signal Processing for Telecommunication, edited by, S. L. Gay, and, J. Benesty, (Kluwer, Dordrecht, 2000), Chap., pp. 181-237.
23. J. S. Bendat and A. G. Piersol, Engineering Applications of Correlation and Spectral Analysis, 1st ed. (Wiley, New York, 1980).