báo cáo hóa học:" Research Article Prediction of Speech Recognition in Cochlear Implant Users by Adapting Auditory Models to Psychophysical Data"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Prediction of Speech Recognition in Cochlear Implant Users by Adapting Auditory Models to Psychophysical Data | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 175243 9 pages doi 2009 175243 Research Article Prediction of Speech Recognition in Cochlear Implant Users by Adapting Auditory Models to Psychophysical Data Svante Stadler and Arne Leijon EURASIP Member Sound and Image Processing Lab KTH 10044 Stockholm Sweden Correspondence should be addressed to Svante Stadler Received 15 December 2008 Revised 6 May 2009 Accepted 18 June 2009 Recommended by Hugo Fastl Users of cochlear implants CIs vary widely in their ability to recognize speech in noisy conditions. There are many factors that may influence their performance. We have investigated to what degree it can be explained by the users ability to discriminate spectral shapes. A speech recognition task has been simulated using both a simple and a complex models of CI hearing. The models were individualized by adapting their parameters to fit the results of a spectral discrimination test. The predicted speech recognition performance was compared to experimental results and they were significantly correlated. The presented framework may be used to simulate the effects of changing the CI encoding strategy. Copyright 2009 S. Stadler and A. Leijon. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Early cochlear implants using only a single channel were useful for identifying environmental sounds and improving lip reading performance. However speech recognition with such implants was very limited. Since then the number of channels in implants has steadily increased as technology has matured and modern implants make use of up to 22 separate channels the Cochlear Nucleus implant or even up to 120 virtual channels Advanced Bionics HiRes120 1 . The theoretical basis behind

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