This paper tackles GAN optimization and stability issues in the context of voice conversion.
First, to simplify the conversion task, we propose to use spectral envelopes as inputs …

The process of transforming a source speaker's vocal style or vocal feature to that of a target
speaker while keeping the linguistic information of the source speaker unchanged is known …

Building a voice conversion system for noisy target speakers, such as users providing noisy
samples or Internet found data, is a challenging task since the use of contaminated speech …

In this paper, we integrate a simple non-parallel voice conversion (VC) system with a
WaveNet (WN) vocoder and a proposed collapsed speech suppression technique. The …

Cross-lingual voice conversion aims to change source speaker's voice to sound like that of
target speaker, when source and target speakers speak different languages. It relies on …

Résumé Les systèmes biométriques vocaux sont utilisés dans diverses applications pour
une authentification sécurisée. Toutefois, ces systèmes sont vulnérables aux attaques par …

We present an unsupervised approach that converts the input speech of any individual into
audiovisual streams of potentially-infinitely many output speakers. Our approach builds on …

The research of singing voice conversion (SVC) has attracted more and more attention in
the field of artificial intelligence. This paper proposes a WD-GAN algorithm for singing voice …

Deep learning is an emerging research direction in machine learning, which has a
promising application in the field of communications. In this paper, we focus on adaptive …