Speaker feature modeling utilizing constrained maximum likelihood linear regression and Gaussian mixture models

Speaker feature modeling utilizing constrained maximum likelihood linear regression and Gaussian mixture models

This paper describes a speaker recognition system based on feature extraction utilizing the constrained maximum likelihood linear regression (CMLLR) speaker adaptation, while using Gaussian mixture models (GMM) to model the speaker and background models. For the input acoustic signals, the cepstral...

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書目詳細資料
主要作者:	Magsino, Elmer R.
格式:	text
出版:	Animo Repository 2020
主題:	Automatic speech recognition Regression analysis Electrical and Computer Engineering
在線閱讀:	https://animorepository.dlsu.edu.ph/faculty_research/2974
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	De La Salle University

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