An efficient robust sound classification algorithm for hearing aids

Journal of the Acoustical Society of America

Volumn 115, Issue 6, 2004, Pages 3033-3041

  Nordqvist, Peter ^a   Leijon, Arne ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HEARING AIDS; MARKOV PROCESSES; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL TO NOISE RATIO;

DSP-BASED HEARING INSTRUMENTS; FALSE-ALARMS; MARKOV MODELS;

ACOUSTIC WAVES;

ACOUSTICS; ALGORITHM; ARTICLE; ENVIRONMENT; HEARING; HEARING AID; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SOUND PRESSURE;

ACOUSTIC STIMULATION; ALGORITHMS; ENVIRONMENT; FEMALE; HEARING AIDS; HEARING IMPAIRED PERSONS; HUMANS; MALE; MARKOV CHAINS; NOISE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPEECH PERCEPTION;

EID: 2942665634     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.1710877     Document Type: Article

References (16)

1. Büchler, M. (2001). "Usefulness and acceptance of automatic program selection in hearing instruments," Phonak Focus 27, 1-10.
2. Duda, R. O., and Hart, P. E. (1973). Pattern Classification and Scene Analysis (Wiley-Interscience, New York).
3. Edwards, B., Hou, Z., Struck, C. J., and Dharan, P. (1998). "Signal-processing algorithms for a new software-based, digital hearing device," Hearing J. 51, 44-52.
4. Elberling, C. (1999). "Loudness scaling revisited," J. Am. Acad. Audiol 10, 248-260.
5. Eriksson-Mangold, M., and Ringdahl, A. (1993). "Mätning av upplevd funktionsnedsättning och handikapp med Göteborgsprofilen, " Audionytt 20(1-2), 10-15.
6. Kates, J. M. (1995). "On the feasibility of using neural nets to derive hearing-aid prescriptive procedures," J. Acoust. Soc. Am. 98, 172-180.
7. Keidser, G. (1995). "The relationships between listening conditions and alternative amplification schemes for multiple memory hearing aids," Ear Hear. 16, 575-586.
8. Keidser, G. (1996). "Selecting different amplification for different listening conditions," J. Am. Acad. Audiol 7, 92-104.
9. Linde, Y., Buzo, A., and Gray, R. M. (1980). "An algorithm for vector quantizer design," IEEE Trans. Commun. COM-28, 84-95.
10. Ludvigsen, C. (1997). Patent No. European Patent EP0732036.
11. Mammone, R. J., Zhang, X., and Ramachandran, R. P. (1996). "Robust speaker recognition: A feature-based approach," IEEE Signal Process. Mag. 13, 58-71.
12. Nordqvist, P. (2000). "The behavior of non-linear (WDRC) hearing instruments under realistic simulated listening conditions," QPSR 2-3/2000, 65-68.
13. Oberle, S., and Kaelin, A. (1995). "Recognition of acoustical alarm signals for the profoundly deaf using hidden Markov models," presented at the IEEE International Symposium on Circuits and Systems, Hong Kong.
14. Ostendorf, M., Hohmann, V., and Kollmeier, B. (1998). "Klassifikation von akustischen Signalen basierend auf der Analyse von Modulationsspektren zur Anwendung in digitalen Hörgeräten," presented at the DAGA'98.
15. Rabiner, L. R. (1989). "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. IEEE 77, 257-286.
16. Tchorz, J., and Kollmeier, B. (1998). "Using amplitude modulation information for sound classification," presented at the Psychophysics, Physiology, and Models of Hearing, Oldenburg.