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Cross-language speaker adaptation has many interesting applications, e.g. speech-to-speech translation. However, in cross-language speaker adaptation, a common phoneme set, assumed to be used by different speakers of the same language, does not exist any longer. Instead, a nearest neighbor based phoneme mapping from one language to the other has been adopted. In this study, we used our recently proposed...
Automatic pronunciation evaluation (APE) can be implemented with a speech recognition model trained by standard, "golden" speakers. The pronunciation accuracy is then measured with the Goodness of Pronunciation (GOP) as reported in our earlier work [1]. In this paper, we investigate two main strategies for improving the evaluation: speaker adaptive training (SAT) for reducing the speaker-specific...
Mismatch between enrollment and test data is one of the top performance degrading factors in speaker recognition applications. This mismatch is particularly true over public telephone networks, where input speech data is collected over different handsets and transmitted over different channels from one trial to the next. In this paper, a cohort-based speaker model synthesis (SMS) algorithm, designed...
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