Techniques for robust speech recognition in noisy and reverberant conditions

Speech Separation by Humans and Machines

Volumn , Issue , 2005, Pages 213-220

  Brown, Guy J ^a   Palomäki, Kalle J ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84867219455     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/0-387-22794-6_14     Document Type: Chapter

References (16)

1. Assmann, P. and Summerfield, Q., 2003, The perception of speech under adverse acoustic conditions, In: Speech processing in the auditory system (Springer handbook of auditory research vol. 18), Greenberg, S., Ainsworth, W., eds. Springer-Verlag.
2. Barker, J., Cooke, M. P., and Green, P. D., 2001, Robust ASR based on clean speech models: An evaluation of missing data techniques for connected digit recognition in noise. Proc. EUROSPEECH, 2001, pp. 213-217.
3. Bregman, A. S., 1990, Auditory Scene Analysis. MIT Press, Cambridge, MA.
4. Brown, G. J., Barker, J., and Wang, D. L., 2001, A neural oscillator sound separator for missing data speech recognition. Proc. IJCNN 2001, pp. 2907-2912.
5. Cooke, M. P., Green, P. D., Josifovski, L., and Vizinho, A., 2001, Robust automatic speech recognition with missing and unreliable acoustic data. Speech Comm., 34, pp. 267-285.
6. Culling, J. F. and Summerfield, Q., 1995, Perceptual separation of concurrent speech sounds: Absence of across-frequency grouping by common interaural delay. J. Acoust. Soc. Am., 98(2), pp. 785-797.
7. Darwin, C. J. and Hukin, R. W., 2000, Effects of reverberation on spatial, prosodic and vocal-tract size cues to selective attention. J. Acoust. Soc. Am., 108(1), pp. 335-342.
8. Hermansky, H., 1998, Should recognisers have ears? Speech Comm., 25, pp. 3-27.
9. Hukin, R. W. and Darwin, C. J., 1995, Effects of contralateral presentation and of interaural time differences in segregating a harmonic from a vowel. J. Acoust. Soc. Am., 98(3), pp. 1380-1387.
10. Kingsbury, B. E. D., 1998, Perceptually inspired signal-processing strategies for robust speech recognition in reverberant environments. PhD thesis, Univ. California, Berkeley.
11. Lippmann, R. P., 1997, Speech recognition by machines and humans. Speech Comm., 22, pp. 1-15.
12. Litovsky, R. Y., Colburn, S. H., Yost, W. A., and Guzman, S. J., 1999, The precedence effect. J. Acoust. Soc. Am., 106(4), pp. 1633-1654.
13. Palomäki, K. J., Brown, G. J., and Barker, J., 2002, Missing data speech recognition in reverberant conditions. Proc. ICASSP, Orlando, 13th-17th May, pp. 65-68.
14. Palomäki, K. J., Brown, G. J., and Wang, D. L., 2004a, A binaural processor for missing data speech recognition in the presence of noise and small-room reverberation. Speech Comm., in press.
15. Palomäki, K. J., Brown, G. J., and Barker, J., 2004b, Techniques for handling convolutional distortion with 'missing data' automatic speech recognition. Speech Comm., in press.
16. Shamsoddini, A. and Denbigh, P. N., 2001, A sound segregation algorithm for reverberant conditions. Speech Comm., 33, pp. 179-196.