지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Persons with sensorineural hearing impairment have troubles in hearing at noisy environments because of their deteriorated hearing levels and low-spectral resolution of the auditory system and therefore, they use hearing aids to compensate weakened hearing abilities. Various algorithms for hearing loss compensation and environmental noise reduction have been implemented in the hearing aid; however, the performance of these algorithms vary in accordance with external sound situations and therefore, it is important to tune the operation of the hearing aid appropriately in accordance with a wide variety of sound situations. In this study, a sound classification algorithm that can be applied to the hearing aid was suggested. The proposed algorithm can classify the different types of speech situations into four categories: 1) speech-only, 2) noise-only, 3) speech-in-noise, and 4)music-only. The proposed classification algorithm consists of two sub-parts: a feature extractor and a speech situation classifier. The former extracts seven characteristic features - short time energy and zero crossing rate in the time domain; spectral centroid, spectral flux and spectral roll-off in the frequency domain; mel frequency cepstral coefficients and power values of mel bands - from the recent input signals of two microphones, and the latter classifies the current speech situation. The experimental results showed that the proposed algorithm could classify the kinds of speech situations with an accuracy of over 94.4%. Based on these results, we believe that the proposed algorithm can be applied to the hearing aid to improve speech intelligibility in noisy environments.
목차
등록된 정보가 없습니다.
참고문헌 (20)
참고문헌 신청
A. Bugatti / 2002 / Audio classification in speech and music : A comparison between a statistical and a neural approach / EURASIP J. Applied Signal Proc 2002 : 372 ~ 378
A. Duquesnoy / 1983 / Effect of a single interfering noise or speech source upon the binaural sentence intelligibility of aged persons / J. Acoust. Soc. Am 74 : 739 ~
B.D. Barkana / 2010 / “Environmental Noise Source Classification Using Neural Networks,” in Information Technology / New Generations Seventh International Conference : 259 ~ 263
C. Freeman / 2008 / Audio environment classification for hearing aids / Guelph Univ. Press : 41 ~ 44
D. Changhong / 2005 / Matlab neural network and application / National Defense Industry Press
A. Duquesnoy / 1983 / Effect of a single interfering noise or speech source upon the binaural sentence intelligibility of aged persons / J. Acoust. Soc. Am 74 : 739 ~
B.D. Barkana / 2010 / “Environmental Noise Source Classification Using Neural Networks,” in Information Technology / New Generations Seventh International Conference : 259 ~ 263
C. Freeman / 2008 / Audio environment classification for hearing aids / Guelph Univ. Press : 41 ~ 44
D. Changhong / 2005 / Matlab neural network and application / National Defense Industry Press
이 논문의 저자 정보
최근 본 자료
댓글(0)
0