Papers by Jaime Lorenzo-Trueba
In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data (N19-2)
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Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood
| Challenge: | Recent advances in text-to-speech synthesis have enabled researchers to generate high-quality speech with a wide range of prosodic variations. |
| Approach: | They propose a model that can synthesise newscaster-style speech with a few hours of data . they propose to factor in contextual word embeddings and evaluate it against neutral synthesis . |
| Outcome: | The proposed model can synthesise newscaster-style speech with just a few hours of data. |
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems (2021.naacl-industry)
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| Challenge: | Developing Text Normalization systems for Text-to-Speech (TTS) on new languages is hard. |
| Approach: | They propose a novel architecture to facilitate Text Normalization systems for TTS on new languages . they use a granular tokenization mechanism that enables the system to learn majority of classes . |
| Outcome: | The proposed architecture performs comparable with the state-of-the-art systems on English . the proposed system learns most classes from training data and precodes them for other classes . |