Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while keeping the linguistic …

Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …

The voice conversion's task is to modify a source speaker's voice to sound like that of a
target speaker. A conversion method is considered successful when the produced speech …

Voice Conversion (VC) aims to convert one's voice to sound like that of another. So far, most
of the voice conversion frameworks mainly focus only on the conversion of spectrum. We …

Waveform generator is a key component in voice conversion. Recently, WaveNet waveform
generator conditioned on the Mel-cepstrum (Mcep) has shown better quality over standard …

Featured Application In this paper, we proposed a method of noise-robust voice conversion
using high-quefrency boosting via sub-band cepstrum conversion and fusion. This method …

With the continuous development of science and technology, especially computer
technology, people need a more convenient and natural way to communicate with the …

We present an any-to-one voice conversion (VC) system, using an autoregressive model
and LPCNet vocoder, aimed at enhancing the converted speech in terms of naturalness …

The primary objective of this work is to compare patterns for vocal expression across distinct
linguistic contexts. Five language (datasets) are taken for experimentation viz. German …

Most of voice conversion (VC) methods were dealing with a one-to-one VC issue and there
were few studies that tackled many-to-one/many-to-many cases. It is difficult to prepare the …