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cs.CL2022
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model
Brooke Stephenson, Laurent Besacier, Laurent Girin +1
Several recent studies have tested the use of transformer language model representations to infer prosodic features for text-to-speech synthesis (TTS). While these studies have exp…
cs.CL2021★ 1 cited
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
Brooke Stephenson, Thomas Hueber, Laurent Girin +1
The prosody of a spoken word is determined by its surrounding context. In incremental text-to-speech synthesis, where the synthesizer produces an output before it has access to the…