This paper introduces and evaluates a novel approach for unsupervised speaker change detection. In many unsupervised speaker change detection algorithms, ...
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This is accomplished by estimating the speech segment by two mixtures of Gaussian mixture model and estimating the left and right segments around the ...
Oct 22, 2024 · In this paper, we are interested in detecting changes in speaker identity, environmental condition and channel condition; we call this the ...
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This two step process of alternately calculating the expectation (10) and updating the the sufficient statistics (11) is iterated until some convergence ...
A new approach to speaker change detection is proposed and investigated. The method, which is based on a probabilistic framework, provides an effective means ...
Most conventional speaker recognition systems use Gaussian mixture models ... Robust Text-Independent Speaker Identification Using. Gaussian Mixture Speaker ...
In this paper, we propose a new approach to robust speaker identification using KPCA (kernel principal component analysis). This approach uses ensembles of ...
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We propose a tree-based kernel selection (TBKS) algorithm as a computationally efficient approach to the Gaussian mixture model–universal background model (GMM ...
Campbell13 proposed Gaussian mixture model (GMM) super-vector based on the in-depth study of GMM parameters and maximum a posteriori (MAP) algorithm. He ...
Jul 6, 2023 · The basic framework of the Stacked Auto-encoders based speaker recognition model can be illustrated in Fig. 1. After pre-processing and feature ...