activity
20202022
most citedControllable neural text-to-speech synthesis using intuitive prosodic features

10 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

eess.AS2022

Improving the quality of neural TTS using long-form content and multi-speaker multi-style modeling

Tuomo Raitio, Javier Latorre, Andrea Davis +2

Neural text-to-speech (TTS) can provide quality close to natural speech if an adequate amount of high-quality speech material is available for training. However, acquiring speech d…

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

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…

eess.AS2021

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…

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…

eess.AS2021★ 1 cited

Whispered and Lombard Neural Speech Synthesis

Qiong Hu, Tobias Bleisch, Petko Petkov +3

It is desirable for a text-to-speech system to take into account the environment where synthetic speech is presented, and provide appropriate context-dependent output to the user.…

eess.AS2020★ 10 cited

Controllable neural text-to-speech synthesis using intuitive prosodic features

Tuomo Raitio, Ramya Rasipuram, Dan Castellani

Modern neural text-to-speech (TTS) synthesis can generate speech that is indistinguishable from natural speech. However, the prosody of generated utterances often represents the av…

eess.AS2020★ 1 cited

Parametric Representation for Singing Voice Synthesis: a Comparative Evaluation

Onur Babacan, Thomas Drugman, Tuomo Raitio +2

Various parametric representations have been proposed to model the speech signal. While the performance of such vocoders is well-known in the context of speech processing, their ex…