Training neural text-to-speech (TTS) models for a new speaker typically requires several
hours of high quality speech data. Prior works on voice cloning attempt to address this …

The automatic fluency assessment of spontaneous speech without reference text is a
challenging task that heavily depends on the accuracy of automatic speech recognition …

The application of speech self-supervised learning (SSL) models has achieved remarkable
performance in speaker verification (SV). However, there is a computational cost hurdle in …

Computer-assisted learning tools (CAPT) are increasingly reliant on AI tools. Recent studies
demonstrated how neural systems pre-trained in a self-supervised fashion, such as …

Self-supervised learning (SSL) has achieved remarkable success across various speech-
processing tasks. To enhance its efficiency, previous works often leverage the use of …

We propose SelfVC, a training strategy to iteratively improve a voice conversion model with
self-synthesized examples. Previous efforts on voice conversion focus on explicitly …