Evaluation of sound classification algorithms for hearing aid applications

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 185-188

  Xiang, JuanJuan ^a   McKinney, Martin F ^a   Fitz, Kelly ^a   Zhang, Tao ^a  

^a Starkey Laboratories Inc   (United States)

Author keywords

Feature selection; Gaussian classifiers; Hearing aids; Hidden markov model; Sound classification

Indexed keywords

APPLICATION PROGRAMS; AUDITION; CLASSIFICATION (OF INFORMATION); GAUSSIAN DISTRIBUTION; HEARING AIDS; TRELLIS CODES;

AUTOMATIC PROGRAMS; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; CLASSIFICATION SYSTEM; FEATURES SELECTION; GAUSSIAN CLASSIFIER; HEARING-AIDS; HIDDEN-MARKOV MODELS; SIMPLE++; SOUND CLASSIFICATION;

HIDDEN MARKOV MODELS;

EID: 78049392173     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5496064     Document Type: Conference Paper

References (14)

1. J.M. Kates, "Classification of background noises for hearing aid applications," Journal of the Acoustical Society of America, 97(1): pp. 461-470, 1995.
2. Y. Lavner and D. Ruinskiy, "A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation," EURASIP Journal on Audio, Speech, and Music Processing, 2009. doi:10.1155/2009/239892
3. E. Scheirer and M. Slaney, "Construction and evaluation of a robust multifeature speech/music discriminator," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1331-1334, 1997.
4. S. Chu, S. Narayanan, and C.C.J. Kuo, "Environmental sound recognition using MP-based features," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1-4, 2008.
5. R. Huang and J.H.L. Hansen, "Advances in unsupervised audio classification and segmentation for the broadcast news and NGSW corpora," IEEE Transactions on Audio, Speech, and Language Processing, 14(3): pp. 907-919, 2006.
6. T. Zhang and C.C.J. Kuo, "Audio content analysis for online audiovisual data segmentation and classification," IEEE Transactions on Speech and Audio Processing, 9(4): pp. 441-457, 2001.
7. B.W. Edwards, Z. Hou, C.J. Struck, and P. Dharan, "Signal-processing algorithms for a new software-based, digital hearing device," Hearing Journal, 51(9): pp. 44-54, 1998.
8. M.F. McKinney and J. Breebaart, "Features for audio and music classification," in Proceedings of International Conference on Music Information Retrieval, pp. 151-158, 2003.
9. T.F. Quatieri, Discrete-time speech signal processing, Prentice Hall PTR, 2002.
10. R. Martin and A. Nagathil, "Cepstral modulation ratio regression (CMRARE) parameters for audio signal analysis and classification," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 321-324, 2009.
11. M. Buchler, S. Allegro, S. Launer, and N. Dillier, "Sound classification in hearing aids inspired by auditory scene analysis," EURASIP Journal on Applied Signal Processing, 2005(18): pp. 2991-3002, 2005.
12. A.L. Blum and P. Langley, "Selection of relevant features and examples in machine learning," Artificial intelligence, 97(1-2): pp. 245-271, 1997.
13. R.O. Duda, P.E. Hart, and D.G. Stork, Pattern classification, Wiley New York, 2001.
14. L.R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, 77(2): pp. 257-286, 1989.