3 accepted papers
The zero-shot text-to-speech (TTS) method, based on speaker embeddings extracted from reference speech using self-supervised learning (SSL) speech representations, can reproduce speaker characteristics very accurately. However, this approach suffers from degradation in speech synthesis quality when…
This work proposes an advanced text-predicting style embedding for expressive speech synthesis. Text-predicting global style token (TPGST) predicts style embedding from text instead of reference speech and uses it to condition a text-to-speech synthesis (TTS) model, resulting in style TTS without re…
This paper proposes a high-speed neural vocoder for CPU implementation. Two approaches for speeding up autoregressive neural vocoders have been proposed, 1) simultaneous multiple sample generation and 2) subband signal-based vocoder; so far they have been employed independently. Our neural vocoder i…