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This paper presents a new approach to cross-lingual voice transformation in HMM-based TTS with only the recordings from two monolingual speakers in different languages (e.g. Mandarin and English). We aim to synthesize one speaker's speech in the other language. We regard the spectral space of any speaker to be composed of universal elementary units (i.e. tied-states) of speech in different languages...
A novel method is proposed for speech model, which is used for speech transformation and speech recognition. This method divides segmentations of a speech into an adaptive segment, in which its speech wave is integrated and has approximate periods. A speech is divided into voiced speech and unvoiced speech by voice activity detection, which is widely used in speech dividing. This speech model mainly...
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