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Many-to-one eigenvoice conversion (EVC) allows the conversion from an arbitrary speaker's voice into the predetermined target speaker's voice. In this method, a canonical eigenvoice Gaussian mixture model is effectively adapted to any source speaker using only a few utterances as the adaptation data. In this paper, we propose a many-to-one EVC based on(More)
This paper describes an evaluation of many-to-one voice conversion (VC) algorithmsconverting an arbitrary speaker's voice into a particular target speaker's voice. These algorithms effectively generate a conversion model for a new source speaker using multiple parallel data sets of many pre-stored source speakers and the single target speaker. We conducted(More)
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