2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
Emphasis control for parallel neural TTS
Shreyas Seshadri, Tuomo Raitio, Dan Castellani +1
Recent parallel neural text-to-speech (TTS) synthesis methods are able to generate speech with high fidelity while maintaining high performance. However, these systems often lack c…
Hierarchical prosody modeling and control in non-autoregressive parallel neural TTS
Tuomo Raitio, Jiangchuan Li, Shreyas Seshadri
Neural text-to-speech (TTS) synthesis can generate speech that is indistinguishable from natural speech. However, the synthetic speech often represents the average prosodic style o…
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…