Singing voice conversion aims to convert singer's voice from source to target without
changing singing content. Parallel training data is typically required for the training of …

This paper introduces a novel voice conversion (VC) model, guided by text instructions such
as “articulate slowly with a deep tone “or “speak in a cheerful boyish voice”. Unlike …

Voice conversion (VC) and text-to-speech (TTS) are two tasks that share a similar objective,
generating speech with a target voice. However, they are usually developed independently …

Voice conversion (VC) consists of digitally altering the voice of an individual to manipulate
part of its content, primarily its identity, while maintaining the rest unchanged. Research in …

Zero-shot voice conversion (VC) trained by non-parallel data has gained a lot of attention in
recent years. Previous methods usually extract speaker embeddings from audios and use …

Speaking rate refers to the average number of phonemes within some unit time, while the
rhythmic patterns refer to duration distributions for realizations of different phonemes within …

The Science of Deep Learning emerged from courses taught by the author that have
provided thousands of students with training and experience for their academic studies, and …

We propose voice conversion model from arbitrary source speaker to arbitrary target
speaker with disentangled representations. Voice conversion is a task to convert the voice of …

Singing voice conversion (SVC) is a task to convert one singer's voice to sound like that of
another, without changing the lyrical content. Singing conveys lexical and emotional …

The increasing usage of speech in digital technology raises a privacy issue because speech
contains biometric information. Several methods of dealing with this issue have been …