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dc.contributor.authorChu, Kai Chuanen_US
dc.contributor.authorChoi, Charles T. M.en_US
dc.date.accessioned2014-12-08T15:23:16Z-
dc.date.available2014-12-08T15:23:16Z-
dc.date.issued2012-04-01en_US
dc.identifier.issn1976-8710en_US
dc.identifier.urihttp://hdl.handle.net/11536/16346-
dc.description.abstractObjectives. 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.en_US
dc.language.isoen_USen_US
dc.subjectCochlear implanten_US
dc.subjectSpeech production measurementen_US
dc.titleNoise Reduction Using Wavelet Thresholding of Multitaper Estimators and Geometric Approach to Spectral Subtraction for Speech Coding Strategyen_US
dc.typeArticleen_US
dc.identifier.journalCLINICAL AND EXPERIMENTAL OTORHINOLARYNGOLOGYen_US
dc.citation.volume5en_US
dc.citation.issueen_US
dc.citation.epageS65en_US
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000304433000015-
dc.citation.woscount0-
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