Objective quality evaluation in blind source separation for speech recognition in a real room

Signal Processing

Volumn 87, Issue 8, 2007, Pages 1951-1965

  Di Persia, Leandro ^a,b   Yanagida, Masuzo ^c   Rufiner, Hugo Leonardo ^a,b   Milone, Diego ^a,b  

^a UNIVERSIDAD NACIONAL DE ENTRE RÍOS   (Argentina)

^b UNIVERSIDAD NACIONAL DEL LITORAL   (Argentina)

^c DOSHISHA UNIVERSITY   (Japan)

Author keywords

Blind source separation; Quality measures; Reverberation; Robust speech recognition

Indexed keywords

QUALITY ASSURANCE; REVERBERATION; SIGNAL DISTORTION; SPEECH RECOGNITION;

QUALITY MEASURES; RECOGNITION RATE; ROBUST SPEECH RECOGNITION; SPEECH RECOGNIZERS;

BLIND SOURCE SEPARATION;

EID: 34247144998     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2007.02.004     Document Type: Article

References (49)

1. Cichocki A., and Amari S. Adaptive Blind Signal and Image Processing. Learning Algorithms and applications (2002), Wiley, New York
2. M. Kahrs, K. Brandenburg (Eds.), Applications of Digital Signal Processing to Audio and Acoustics, The Kluwer International Series In Engineering And Computer Science, Kluwer Academic Publishers, Dordrecht, 2002.
3. R. Gilkey, T. Anderson (Eds.), Binaural and Spatial Hearing in Real and Virtual Environments, Lawrence Erlbaum Associates, London, 1997.
4. Blauert J. Spatial Hearing-The Psychophysics of human sound localization (1997), MIT Press, Cambridge, MA
5. Finitzo-Hieber T., and Tillmann T. Room acoustics effects on monosyllabic word discrimination ability by normal and hearing impaired children. J. Speech Hearing Res. 21 (1978) 440-458
6. Crandell C., and Smaldino J. Classroom acoustics for children with normal hearing and with hearing impairment. Language, Speech, and Hearing Services in Schools 31 4 (2000) 362-370
7. Kinsbury B., and Morgan N. Recognizing reverberant speech with RASTA-PLP. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (1997) 1259-1262
8. J. Benesty, S. Makino, J. Chen (Eds.), Speech Enhancement, Signals and Communication Technology, Springer, Berlin, 2005.
9. Mitianoudis N., and Davies M. New fixed-point ICA algorithms for convolved mixtures. Proceedings of the Third International Conference on Independent Component Analysis and Source Separation (2001) 633-638
10. Ikeda S., and Murata N. An approach to blind source separation of speech signals. Proceedings of the 8th International Conference on Artificial Neural Networks vol. 2 (1998) 761-766
11. Gotanda H., Nobu K., Koya T., Kaneda K., Ishibashi T., and Haratani N. Permutation correction and speech extraction based on split spectrum through fastica. Proceedings of the Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (2003) 379-384
12. Lee T., Bell A., and Orglmeister R. Blind source separation of real world signals. Proceedings of IEEE International Conference Neural Networks (1997) 2129-2135
13. Parra L., and Spence C. Convolutive blind separation of non-stationary sources. IEEE Trans. Speech Audio Process. 8 3 (2000) 320-327
14. Parra L., and Alvino C. Geometric source separation: merging convolutive source separation with geometric beamforming. IEEE Trans. Speech Audio Process. 10 6 (2002) 352-362
15. Douglas S.C., and Sun X. Convolutive blind separation of speech mixtures using the natural gradient. Speech Commun. 39 1-2 (2003) 65-78
16. Schobben D., Torkkola K., and Smaragdis P. Evaluation of blind signal separation methods. Proceedings of the First International Workshop on Independent Component Analysis and Blind Signal Separation (1999) 261-266
17. Gribonval R., Benaroya L., Vincent E., and Févotte C. Proposals for performance measurement in source separation. Proceedings of the 4th Symposium on Independent Component Analysis and Blind Source Separation (2003) 763-768
18. Vincent E., Gribonval R., and Févotte C. Performance measurement in blind audio source separation. IEEE Trans. Audio Speech Language Process. 14 4 (2006) 1462-1469
19. Murata N., Ikeda S., and Ziehe A. An approach to blind source separation based on temporal structure of speech signals. Neurocomputing 41 (2001) 1-24
20. Asano F., Ikeda S., Ogawa M., Asoh H., and Kitawaki N. Blind source separation in reflective sound fields. International Workshop on Hands-Free Speech Communication (2001) 51-54
21. Asano F., Ikeda S., Ogawa M., Asoh H., and Kitawaki N. Combined approach of array processing and independent component analysis for blind separation of acoustic signals. IEEE Trans. Speech Audio Processing 11 3 (2003) 204-215
22. Deller J., Proakis J., and Hansen J. Discrete Time Processing of Speech Signals (1993), MacMillan Publishing, New York
23. Voiers W.D. Diagnostic acceptability measure for speech communication systems. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (1977) 204-207
24. Klatt D.H. Prediction of perceived phonetic distance from critical-band spectra: a first step. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (1982) 1278-1281
25. Gray A., and Markel J. Distance measures for speech processing. IEEE Trans. Acoustics Speech Signal Process. 24 5 (1976) 380-391
26. Gray R.M., Buzo A., Gray A.H., and Matswama Y. Distortion measures for speech processing. IEEE Trans. Acoustics Speech Signal Process. 28 4 (1980) 367-376
27. Barnwell T.P. Correlation analysis of subjective and objective measures for speech quality. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (1980) 706-709
28. Beerends J.G., and Stemerdink J.A. A perceptual speech quality measure based on a psychoacoustic sound representation. J. Audio Eng. Soc. 42 3 (1994) 115-123
29. Voran S. Objective estimation of perceived speech quality. I. development of the measuring normalizing block technique. IEEE Trans. Speech Audio Process. 7 4 (1999) 371-382
30. Voran S. Objective estimation of perceived speech quality. II. evaluation of the measuring normalizing block technique. IEEE Trans. Speech Audio Process. 7 4 (1999) 383-390
31. Rabiner L., and Juang B.-H. Fundamentals of Speech Recognition (1993), Prentice-Hall, Englewood Cliffs, NJ
32. Itakura F. Minimum prediction residual principle applied to speech recognition. IEEE Trans. Acoustics Speech Signal Process. 23 1 (1975) 67-72
33. Mansour D., and Juang B.H. A family of distortion measures based upon projection operation for robust speech recognition. IEEE Trans. Acoustics Speech Signal Process. 37 2 (1989) 1659-1671
34. Nocerino N., Soong F.K., Rabiner L.R., and Klatt D.H. Comparative study of several distortion measures for speech recognition. Proceedings of the IEEE International Conference on Acoustics, Speec,h and Signal Processing vol. 1 (1985) 25-28
35. Hansen J.H., and Arslan L.M. Robust feature estimation and objective quality assessment for noisy speech recognition using the credit card corpus. IEEE Trans. Speech Audio Process. 3 3 (1995) 169-184
36. Basseville M. Distance measures for signal processing and pattern recognition. Signal Process. 18 (1989) 349-369
37. Hansen J.H., and Pellom B. An effective quality evaluation protocol for speech enhancement algorithms. Proceedings of the International Conference on Spoken Language Processing vol. 7 (1998) 2819-2822
38. Kuttruff H. Room Acoustics. fourth ed. (2000), Taylor & Francis, London
39. Hyvärinen A., Karhunen J., and Oja E. Independent Component Analysis (2001), Wiley, New York
40. J.-F. Cardoso, A. Souloumiac, Blind beamforming for non-Gaussian signals, IEE Proceedings-F 140 (1993) 362-370.
41. Bingham E., and Hyvärinen A. A fast fixed-point algorithm for independent component analysis of complex valued signals. Internat. J. Neural Systems 10 1 (2000) 1-8
42. Allen J.B., and Rabiner L.R. A unified approach to short-time Fourier analysis and synthesis. Proc. IEEE 65 11 (1977) 1558-1564
43. Lee A., Kawahara T., and Shikano K. Julius-an open source real-time large vocabulary recognition engine. Proceedings of the European Conference on Speech Communication and Technology (2001) 1691-1694. http://julius.sourceforge.jp/en/julius.html 〈URL http://julius.sourceforge.jp/en/julius.html〉
44. Yung S., Evermann G., Gales M., Hain T., Kershaw D., Moore G., Odell J., Ollason D., Povey D., Valtchev V., and Woodland P. The HTK book (for HTK Version 3.3) (2005), Cambridge University Engineering Department, Cambridge
45. Kawahara T., Lee A., Kobayashi T., Takeda K., Minematsu N., Sagayama S., Itou K., Ito A., Yamamoto M., Yamada A., Utsuro T., and Shikano K. Free software toolkit for Japanese large vocabulary continuous speech recognition. Proceedings of the International Conference on Spoken Language Processing vol. 4 (2000) 476-479
46. D.C. Montgomery, G.C. Runger, Applied Statistics and Probability for Engineers, Third ed., 2003.
47. Hermansky H. Perceptual linear predictive PLP analysis of speech. J. Acoust. Soc. Amer. 87 4 (1990) 1738-1752
48. Hermansky H., and Morgan N. RASTA processing of speech. IEEE Trans. Speech Audio Process. 2 4 (1994) 578-589
49. Koehler J., Morgan N., Hermansky H., Hirsch H.G., and Tong G. Integrating RASTA-PLP into speech recognition. Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing vol. 1 (1994) 421-424