In this paper, we evaluate feature extraction models for predicting spee...
In this paper, we present CML-TTS, a recursive acronym for
CML-Multi-Lin...
Automatic speech recognition (ASR) systems play a key role in applicatio...
During the outbreak of COVID-19 pandemic, several research areas joined
...
BibleTTS is a large, high-quality, open speech dataset for ten languages...
We explore the use of speech synthesis and voice conversion applied to
a...
YourTTS brings the power of a multilingual approach to the task of zero-...
Automatic Speech recognition (ASR) is a complex and challenging task. In...
Deep learning techniques have been shown to be efficient in various task...
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speak...
Voice synthesis systems are popular in different applications, such as
p...
Voice recognition is an area with a wide application potential. Speaker
...