標題: Noise Reduction Using Wavelet Thresholding of Multitaper Estimators and Geometric Approach to Spectral Subtraction for Speech Coding Strategy
作者: Chu, Kai Chuan
Choi, Charles T. M.
分子醫學與生物工程研究所
資訊工程學系
電機工程學系
Institute of Molecular Medicine and Bioengineering
Department of Computer Science
Department of Electrical and Computer Engineering
關鍵字: Cochlear implant;Speech production measurement
公開日期: 1-四月-2012
摘要: Objectives. Noise reduction using wavelet thresholding of multitaper estimators (WTME) and geometric approach to spectral subtraction (GASS) can improve speech quality of noisy sound for speech coding strategy. This study used Perceptual Evaluation of Speech Quality (PESQ) to assess the performance of the WTME and GASS for speech coding strategy. Methods. This study included 25 Mandarin sentences as test materials. Environmental noises including the air-conditioner, cafeteria and multi-talker were artificially added to test materials at signal to noise ratio (SNR) of -5, 0, 5, and 10 dB. HiRes 120 vocoder WTME and GASS noise reduction process were used in this study to generate sound outputs. The sound outputs were measured by the PESQ to evaluate sound quality. Results. Two figures and three tables were used to assess the speech quality of the sound output of the WTME and GASS. Conclusion. There is no significant difference between the overall performance of sound quality in both methods, but the geometric approach to spectral subtraction method is slightly better than the wavelet thresholding of multitaper estimators.
URI: http://hdl.handle.net/11536/16346
ISSN: 1976-8710
期刊: CLINICAL AND EXPERIMENTAL OTORHINOLARYNGOLOGY
Volume: 5
Issue: 
結束頁: S65
顯示於類別:期刊論文


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  1. 000304433000015.pdf