Eigenvoice-based Approach to Voice Conversion and Voice Quality Control
نویسنده
چکیده
This paper reviews our proposed approach to voice conversion (VC) and voice quality control based on an eigenvoice technique. VC is a technique to modify nonlinguistic information such as speaker individuality while keeping linguistic information unchanged. In the traditional VC framework, a conversion model for a source and target speaker-pair needs to be trained in advance using a parallel data set consisting of utterance-pairs of these two speakers. To make VC technologies more practical, we have developed a new VC paradigm for flexibly building the conversion model for an arbitrary speaker-pair by effectively using speech samples of many other speakers. In this paper, we give an overview of eigenvoice conversion (EVC) as one of our proposed VC techniques.
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تاریخ انتشار 2009