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 Study of Harmonics-to-Noise Ratio and Critical-Band Energy Spectrum of Speech as Acoustic Indicators of Laryngeal and Voice Pathology | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 85286 9 pages doi 2007 85286 Research Article Study of Harmonics-to-Noise Ratio and Critical-Band Energy Spectrum of Speech as Acoustic Indicators of Laryngeal and Voice Pathology Kumara Shama 1 Anantha krishna 1 and Niranjan U. Cholayya2 1 Department of Electronics and Communication Engineering Manipal Institute of Technology 576104 Manipal India 2 Department of Biomedical Engineering Manipal Institute of Technology 576104 Manipal India Received 5 April 2005 Revised 5 January 2006 Accepted 13 January 2006 Recommended by Douglas O Shaughnessy Acoustic analysis of speech signals is a noninvasive technique that has been proved to be an effective tool for the objective support of vocal and voice disease screening. In the present study acoustic analysis of sustained vowels is considered. A simple fc-means nearest neighbor classifier is designed to test the efficacy of a harmonics-to-noise ratio HNR measure and the critical-band energy spectrum of the voiced speech signal as tools for the detection of laryngeal pathologies. It groups the given voice signal sample into pathologic and normal. The voiced speech signal is decomposed into harmonic and noise components using an iterative signal extrapolation algorithm. The HNRs at four different frequency bands are estimated and used as features. Voiced speech is also filtered with 21 critical-bandpass filters that mimic the human auditory neurons. Normalized energies of these filter outputs are used as another set of features. The results obtained have shown that the HNR and the critical-band energy spectrum can be used to correlate laryngeal pathology and voice alteration using previously classified voice samples. This method could be an additional acoustic indicator that supplements the clinical diagnostic features for voice evaluation. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. .
