Real-time automatic tuning of noise suppression algorithms for cochlear implant applications

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 6, 2012, Pages 1691-1700

  Gopalakrishna, Vanishree ^a   Kehtarnavaz, Nasser ^a   Mirzahasanloo, Taher S ^a   Loizou, Philipos C ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

Automatic tuning of noise suppression; Characterization of noisy environments; Noise adaptive cochlear implants; Real time implementation of cochlear implant speech processing

Indexed keywords

AUTOMATIC TUNING; BACKGROUND NOISE; ENTIRE SYSTEM; NOISE SUPPRESSION; NOISE SUPPRESSION ALGORITHM; NOISY ENVIRONMENT; OBJECTIVE QUALITY MEASURES; REAL TIME; REAL-TIME IMPLEMENTATIONS; RESEARCH PLATFORMS; USER INTERVENTION;

ADAPTIVE SYSTEMS; REAL TIME CONTROL; SPEECH PROCESSING;

COCHLEAR IMPLANTS;

ALGORITHM; ARTICLE; AUTOMATION; COCHLEA PROSTHESIS; NOISE MEASUREMENT; NOISE REDUCTION; NOISE STANDARD; SPEECH; VOICE ANALYSIS;

ALGORITHMS; COCHLEAR IMPLANTS; COMPUTER SYSTEMS; DEAFNESS; HUMANS; SIGNAL-TO-NOISE RATIO; SOUND SPECTROGRAPHY; THERAPY, COMPUTER-ASSISTED;

EID: 84861357626     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2191968     Document Type: Article

References (32)

1. National Institute on Deafness and Other Communication Disorders. (2009, Aug.). "Cochlear Implants," National Institutes of Health, publication no. 09-4798. [Online]. Available: http://www.nidcd.nih.gov/health/hearing/coch. asp
2. J. Remus and L. Collins, "The effects of noise on speech recognition in cochlear implant subjects: Predictions and analysis using acoustic models," EURASIP J. Appl. Speech Process.: Spec. Issue DSP Hear. Aids Cochlear Implants, vol. 18, pp. 2979-2990, 2005. (Pubitemid 44796362)
3. B. Fetterman and E. Domico, "Speech recognition in background noise of cochlear implant patients," Otolaryngol. Head Neck Surg., vol. 126, no. 3, pp. 257-263, 2002. (Pubitemid 41123587)
4. Y. Hu, P. Loizou, N. Li, and K. Kasturi, "Use of a sigmoidal-shaped function for noise attenuation in cochlear implants," J. Acoust. Soc. Amer., vol. 128, no. 4, pp. 128-134, 2007.
5. P. Loizou, A. Lobo, andY.Hu, "Subspace algorithms for noise reduction in cochlear implants," J. Acoust. Soc. Amer., vol. 118, no. 5, pp. 2791-2793, 2005. (Pubitemid 41618976)
6. Y. Hu and P. Loizou, "Environment specific noise suppression for improved speech intelligibility by cochlear implant users," J. Acoust. Soc. Amer., vol. 127, no. 6, pp. 3689-3695, 2010.
7. G. Kim and P. Loizou, "Improving speech intelligibility in noise using environment-optimized algorithms," IEEE Trans. Audio, Speech, Lang. Process., vol. 18, no. 8, pp. 2080-2090, Nov. 2010.
8. T. Fingscheidt, S. Suhadi, and S. Stan, "Environment-optimized speech Enhancement," IEEE Trans. Audio, Speech, Lang. Process., vol. 16, no. 4, pp. 825-834, May 2008.
9. J. Erkelens, J. Jensen, and R. Heusdens, "A data-driven approach to optimizing spectral speech enhancementmethods for various error criteria," in Proc. Speech Commun., Spec. Iss. Speech Enhancement, vol. 49, no. 7-8, pp. 530-541, 2007. (Pubitemid 47031351)
10. J. Erkelens and R. Heusdens, "Tracking of non-stationary noise based on data-driven recursive noise power estimation," IEEE Trans. Audio, Speech, Lang. Process., vol. 16, no. 6, pp. 1112-1123, Aug. 2008.
11. V. Gopalakrishna, N. Kehtarnavaz, and P. Loizou, "A recursive waveletbased strategy for real-time cochlear implant speech processing on PDA platforms," IEEE Trans. Biomed. Eng., vol. 57, no. 8, pp. 2053-2063, Aug. 2010.
12. V. Gopalakrishna, N. Kehtarnavaz, and P. Loizou, "Real-time implementation of wavelet-based advanced combination encoder on PDA platforms for cochlear implant studies," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Process., 2010, pp. 1670-1673.
13. P. Loizou, "Speech processing in vocoder-centric cochlear implants," in Cochlear Brainstem Implants (Adv. Otorhinolaryngol Series). Basel, Switzerland: Karger, vol. 64, pp. 109-143, 2006. (Pubitemid 44338657)
14. S. Eddie, "Hearing aid usage in different listening environments," M.S. thesis (Audiology), Univ. Canterbury, Christchurch, New Zealand, 2007.
15. S. Kochkin, "MarkeTrak VIII: Consumer satisfaction with hearing aids is slowly increasing," Hear. J., vol. 63, no. 1, pp. 19-32, 2010.
16. "A Silence Compression Scheme for G.729 Optimized for Terminals Conforming to Recommendation V.70," ITU-T Rec. G.729-Annex B, 1996.
17. J. Ramirez, J. Segura, C. Benitez, L. Garcia, and A. Rubio, "Statistical voice activity detection using a multiple observation likelihood ratio test," IEEE Signal Process. Lett., vol. 12, no. 10, pp. 689-692, Oct. 2005. (Pubitemid 41448576)
18. E. Nemer, R. Goubran, and S. Mahmoud, "Robust voice activity detection using higher-order statistics in the LPC residual domain," in IEEE Trans. Speech Audio Process., vol. 9, no. 3, pp. 217-231, Mar. 2001. (Pubitemid 32300847)
19. M. Stadtschnitzer, T. Pham, and T. Chien, "Reliable voice activity detection algorithms under adverse environments," in Proc. IEEE 2nd Int. Conf. Commun. Electron., 2008, pp. 218-223.
20. S. Jovicic and Z. Saric, "Acoustic analysis of consonants in whispered speech," J. Voice, vol. 22, no. 3, pp. 263-274, 2008. (Pubitemid 351622101)
21. P. Loizou, Speech Enhancement: Theory and Practice. Boca Raton, FL: CRC Press, 2007.
22. J. Kates, "Classification of background noise for hearing-aid applications," J. Acoust. Soc. Amer., vol. 97, pp. 461-470, 1995.
23. E. Alexandre, L. Cuadra, L. Alvarez, M. Zurera, and F. Ferreras, "Automatic sound classification for improving speech intelligibility in hearing aids using a layered structure," in Lecture Notes in Computer Science. vol. 4224, New York: Springer-Verlag, 2006.
24. M. Buchler, S. Allergo, S. Launer, and N. Dillier, "Sound classification in hearing aids inspired by auditory scene analysis," EURASIP J. Appl. Signal Process., vol. 2005, pp. 2991-3002, 2005. (Pubitemid 44796363)
25. J. Xiang, M. McKinney, K. Fitz, and T. Zhang, "Evaluation of sound classification algorithms for hearing aid applications," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Process., 2010, pp. 185-188.
26. L. Ma, B. Milner, and D. Smith, "Acoustic environment classification," ACM Trans. Speech Lang. Proc., vol. 3, pp. 1-22, 2006. (Pubitemid 44188497)
27. V. Gopalakrishna, S.Yousefi,N.Kehtarnavaz, and P. Loizou, "Markov random field-based features for background noise characterization in hearing devices," presented at the 14th Appl. Stochastic Models Data Anal. Conf., Rome, Italy, 2011.
28. H. Derin and H. Elliott, "Modeling and segmentation of noisy and textured images using Gibbs random fields," IEEE Trans. Pattern. Anal. Mach. Intell., vol. PAMI-9, no. 1, pp. 39-55, Jan. 1987. (Pubitemid 17534848)
29. C. Lin, S. Chen, K. Truong, and Y. Chang, "Audio classification and categorization based on wavelets and support vector machine," IEEE Trans. Speech Audio Proc., vol. 13, no. 5, pp. 644-651, Sep. 2005.
30. V. Gopalakrishna, N. Kehtarnavaz, and P. Loizou, "Real-time automatic switching between noise suppression algorithms for deployment in cochlear implants," in Proc. IEEE Int. Conf. Eng. Med. Biol. Soc., 2010, pp. 863-866.
31. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean square error log-spectral amplitude estimator," IEEE Trans. Acoust., Speech, Signal Process., vol. 33, no. 2, pp. 443-445, Apr. 1985.
32. Y. Hu and P. Loizou, "Evaluation of objective quality measures for speech enhancement," IEEE Trans. Speech Audio Process., vol. 16, no. 1, pp. 229-238, Jan. 2008.