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MAP speaker adaptation of state duration distributions for speech recognition
(2002)
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, namely analysis and modeling of state ...
Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone speech
(ELSEVIER, 2008-11)
In this paper, an unsupervised intra-speaker variability compensation (ISVC) method based oil Gestalt is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speaker verification ...
Unsupervised intra-speaker variability compensation based on gestalt and model adaptation in speaker verification with telephone speech
(ELSEVIER SCIENCE BV, 2008)
In this paper, an unsupervised intra-speaker variability compensation (ISVC) method based oil Gestalt is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speaker verification ...
A novel method for estimating the number of speakers based on generalized eigenvalue-vector decomposition and adaptive wavelet transform by using K-means clustering
(Springer, 2020)
The aim of this article is estimating the number of simultaneous speakers from the overlapped speech signals. The percentage of correct number of speakers is an important factor for the proposed algorithm. The proposed ...
Map speaker adaptation of state duration distributions for speech recognition
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 2002)
Avoiding speaker variability in pronunciation verification of children's disordered speech
This paper deals with the problematic of speaker variability in a task of pronunciation verification for the speech therapy of children and young adults in Computer-Aided Pronunciation Training (CAPT) tools. The baseline ...