Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …

We present a novel voice conversion (VC) framework by learning from a text-to-speech
(TTS) synthesis system, that is called TTS-VC transfer learning or TTL-VC for short. We first …

This paper presents a cross-lingual voice conversion approach using bilingual Phonetic
PosteriorGram (PPG) and average modeling. The proposed approach makes use of …

Developing a voice conversion (VC) system for a particular speaker typically requires
considerable data from both the source and target speakers. This paper aims to effectuate …

Voice conversion techniques typically require source-target parallel speech data for model
training. Such parallel data may not be available always in practice. This paper presents a …

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 …

We propose a novel training scheme to optimize voice conversion network with a speaker
identity loss function. The training scheme not only minimizes frame-level spectral loss, but …

In a typical voice conversion system, vocoder is commonly used for speech-to-features
analysis and features-to-speech synthesis. However, vocoder can be a source of speech …

Research in affective computing and cognitive science has shown the importance of
emotional facial and vocal expressions during human-computer and human-human …