27 citations · 37 across the 5 of their papers we have counts for
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eess.AS2020★ 10 cited
Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning
Devang S Ram Mohan, Raphael Lenain, Lorenzo Foglianti +4
Modern approaches to text to speech require the entire input character sequence to be processed before any audio is synthesised. This latency limits the suitability of such models…
eess.AS2020★ 27 cited
Phonological Features for 0-shot Multilingual Speech Synthesis
Marlene Staib, Tian Huey Teh, Alexandra Torresquintero +4
Code-switching---the intra-utterance use of multiple languages---is prevalent across the world. Within text-to-speech (TTS), multilingual models have been found to enable code-swit…