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

• المؤلف الرئيسي: Magsino, Elmer R.
• التنسيق: text
• منشور في: Animo Repository 2020
• الموضوعات: Automatic speech recognition; Regression analysis; Electrical and Computer Engineering
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/2974
• المؤسسة: De La Salle University

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...