Maximum likelihood-based trajectory map** considering global variance (MLGV-based
trajectory map**) has been proposed for improving the quality of the converted speech of …

For any given mixed-language text, a multilingual synthesizer synthesizes speech that is
intelligible to human listener. However, as speech data are usually collected from native …

Dysarthria speakers suffer from poor communication, and voice conversion (VC) technology
is a potential approach for improving their speech quality. This study presents a joint feature …

Voice conversion is the process to modify a speech signal of one speaker (source) to sound
like an intended speaker (target) without changing the language content. This technology …

A strategy to enhance the signal quality and naturalness was designed for performing
probabilistic spectral envelope transformation in voice conversion. The existing modeling …

This paper presents a novel statistical sample-based approach for Gaussian Mixture Model
(GMM)-based Voice Conversion (VC). Although GMM-based VC has the promising flexibility …

In voice conversion, sparse-representation-based methods have recently been garnering
attention because they are, relatively speaking, not affected by over-fitting or over-smoothing …

Speech is one of the natural ways for people to communicate, and speech synthesis is a
technique to synthesize a speech waveform through a computer. The field of speech …

Dysarthria is a communication disorder common in people with damaged neuro-muscular
apparatus resulting from events such as stroke. For a dysarthric speaker, voice conversion …

Voice conversion is formally defined as the process of converting a source speaker's
utterance to the voice of a given target speaker without altering the linguistic contents of the …