The effects of noise on speech recognition in cochlear implant subjects: Predictions and analysis using acoustic models

Eurasip Journal on Applied Signal Processing

Volumn 2005, Issue 18, 2005, Pages 2979-2990

  Remus, Jeremiah J ^a   Collins, Leslie M ^a  

^a USA   (United States)

Author keywords

Acoustic model; Cochlear implant; Confusion prediction; Speech perception

Indexed keywords

ACOUSTIC NOISE; ACOUSTIC SIGNAL PROCESSING; IMPLANTS (SURGICAL); MATHEMATICAL MODELS; OPTICAL RESOLVING POWER;

ACOUSTIC MODELS; COCHLEAR IMPLANTS; CONFUSION PREDICTION; SPEECH PERCEPTION;

SPEECH RECOGNITION;

EID: 33751264636     PISSN: 11108657     EISSN: 16870433     Source Type: Journal    
DOI: 10.1155/ASP.2005.2979     Document Type: Article

References (24)

1. M. F. Dorman, P. C. Loizou, and J. Fitzke, "The identification of speech in noise by cochlear implant patients and normal-hearing listeners using 6-channel signal processors," Ear & Hearing, vol. 19, no. 6, pp. 481-484, 1998.
2. B. L. Fetterman and E. H. Domico, "Speech recognition in background noise of cochlear implant patients," Otolaryngology - Head and Neck Surgery, vol. 126, no. 3, pp. 257-263, 2002.
3. Q.-J. Fu, R. V. Shannon, and X. Wang, "Effects of noise and spectral resolution on vowel and consonant recognition: Acoustic and electric hearing," Journal of the Acoustical Society of America, vol. 104, no. 6, pp. 3586-3596, 1998.
4. D. Baskent and R. V. Shannon, "Speech recognition under conditions of frequency-place compression and expansion," Journal of the Acoustical Society of America, vol. 113, no. 4, pp. 2064-2076, 2003.
5. L. M. Friesen, R. V. Shannon, D. Baskent, and X. Wang, "Speech recognition in noise as a function of the number of spectral channels: comparison of acoustic hearing and cochlear implants," Journal of the Acoustical Society of America, vol. 110, no. 2, pp. 1150-1163, 2001.
6. P. C. Loizou, M. F. Dorman, O. Poroy, and T. Spahr, "Speech recognition by normal-hearing and cochlear implant listeners as a function of intensity resolution," Journal of the Acoustical Society of America, vol. 108, no. 5, pp. 2377-2387, 2000.
7. H. Müsch and S. Buus, "Using statistical decision theory to predict speech intelligibility. I. Model structure," Journal of the Acoustical Society of America, vol. 109, no. 6, pp. 2896-2909, 2001.
8. H. Müsch and S. Buus, "Using statistical decision theory to predict speech intelligibility. II. Measurement and prediction of consonant-discrimination performance," Journal of the Acoustical Society of America, vol. 109, no. 6, pp. 2910-2920, 2001.
9. M. A. Svirsky, "Mathematical modeling of vowel perception by users of analog multichannel cochlear implants: temporal and channel-amplitude cues," Journal of the Acoustical Society of America, vol. 107, no. 3, pp. 1521-1529, 2000.
10. A. Leijon, "Estimation of sensory information transmission using a hidden Markov model of speech stimuli," Acustica - Acta Acustica, vol. 88, no. 3, pp. 423-432, 2001.
11. Q.-J. Fu, J. J. Galvin, and X. Wang, "Recognition of time-distorted sentences by normal-hearing and cochlear-implant listeners," Journal of the Acoustical Society of America, vol. 109, no. 1, pp. 379-384, 2001.
12. Q.-J. Fu and R. V. Shannon, "Effect of stimulation rate on phoneme recognition by Nucleus-22 cochlear implant listeners," Journal of the Acoustical Society of America, vol. 107, no. 1, pp. 589-597, 2000.
13. Y. C. Tong, J. M. Harrison, J. Huigen, and G. M. Clark, "Comparison of two speech processing schemes using normal-hearing subjects," Acta Otolaryngology Supplement, vol. 469, pp. 135-139, 1990.
14. Cochlear Corporation and the University of Iowa, Cochlear Corporation/the University of Iowa Revised Cochlear Implant Test Battery, Englewood, Colo, USA, 1995.
15. M. F. Dorman, P. C. Loizou, J. Fitzke, and Z. Tu, "The recognition of sentences in noise by normal-hearing listeners using simulations of cochlear-implant signal processors with 6-20 channels," Journal of the Acoustical Society of America, vol. 104, no. 6, pp. 3583-3585, 1998.
16. P. C. Loizou, M. F. Dorman, Z. Tu, and J. Fitzke, "Recognition of sentences in nosie by normal-hearing listeners using simulations of SPEAK-type cochlear implant signal processors," Annals of Otology, Rhinology, and Laryngology Supplement, vol. 185, pp. 67-68, December 2000.
17. C. S. Throckmorton and L. M. Collins, "The effect of channel interactions on speech recognition in cochlear implant subjects: predictions from an acoustic model," Journal of the Acoustical Society of America, vol. 112, no. 1, pp. 285-296, 2002.
18. P. J. Blarney, R. C. Dowell, Y. C. Tong, and G. M. Clark, "An acoustic model of a multiple-channel cochlear implant," Journal of the Acoustical Society of America, vol. 76, no. 1, pp. 97-103, 1984.
19. M. F. Dorman, P. C. Loizou, and D. Rainey, "Speech intelligibility as a function of the number of channels of stimulation for signal processors using sine-wave and noise-band outputs," Journal of the Acoustical Society of America, vol. 102, no. 4, pp. 2403-2411, 1998.
20. A. R. Thornton and M. J. M. Raffin, "Speech-discrimination scores modeled as a binomial variable," Journal of Speech and Hearing Research, vol. 21, no. 3, pp. 507-518, 1978.
21. G. A. Miller and P. E. Nicely, "An analysis of perceptual confusions among some English consonants," Journal of the Acoustical Society of America, vol. 27, no. 2, pp. 338-352, 1955.
22. J. R. Deller, J. G. Proakis, and J. H. L. Hansen, Discrete-Time Processing of Speech Signals, Macmillan, New York, NY, USA, 1993.
23. L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-286, 1989.
24. J. L. Devore, Probability and Statistics for Engineering and the Sciences, Duxbury Press, Belmont, Calif, USA, 1995.