2 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.AS2022★ 1 cited
Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise
Tuomo Raitio, Petko Petkov, Jiangchuan Li +3
We present a neural text-to-speech (TTS) method that models natural vocal effort variation to improve the intelligibility of synthetic speech in the presence of noise. The method c…
eess.AS2021★ 2 cited
On-device neural speech synthesis
Sivanand Achanta, Albert Antony, Ladan Golipour +8
Recent advances in text-to-speech (TTS) synthesis, such as Tacotron and WaveRNN, have made it possible to construct a fully neural network based TTS system, by coupling the two com…