TAILIEUCHUNG - Báo cáo hóa học: " Sound Classification in Hearing Aids Inspired by Auditory Scene Analysis"

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: Sound Classification in Hearing Aids Inspired by Auditory Scene Analysis | EURASIP Journal on Applied Signal Processing 2005 18 2991-3002 2005 Michael Buchler et al. Sound Classification in Hearing Aids Inspired by Auditory Scene Analysis Michael Buchler ENT Department University Hospital Zurich CH-8091 Zurich Switzerland Email Silvia Allegro Phonak AG CH-8712 Staefa Switzerland Email Stefan Launer Phonak AG CH-8712 Staefa Switzerland Email Norbert Dillier ENT Department University Hospital Zurich CH-8091 Zurich Switzerland Email Received 29 April 2004 Revised 16 Novem ber 2004 A sound classification system for the automatic recognition of the acoustic environment in a hearing aid is discussed. The system distinguishes the four sound classes clean speech speech in noise noise and music. A number of features that are inspired by auditory scene analysis are extracted from the sound signal. These features describe amplitude modulations spectral profile harmonicity amplitude onsets and rhythm. They are evaluated together with different pattern classifiers. Simple classifiers such as rule-based and minimum-distance classifiers are compared with more complex approaches such as Bayes classifier neural network and hidden Markov model. Sounds from a large database are employed for both training and testing of the system. The achieved recognition rates are very high except for the class speech in noise. Problems arise in the classification of compressed pop music strongly reverberated speech and tonal or fluctuating noises. Keywords and phrases hearing aids sound classification auditory scene analysis. 1. INTRODUCTION It was shown in the past that one single setting of the frequency response or of compression parameters in the hearing aid is not satisfying for the user. Kates 1 presented a summary of a number of studies where it was shown that different hearing aid characteristics are desired under different listening conditions. Therefore modern hearing

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