InforLorV4, Hal, Checkpoint, bibRecord, 004922

Linguistic features weighting for a Text-To-Speech system without prosody model

Identifieur interne : 004922 ( Hal/Checkpoint ); précédent : 004921; suivant : 004923

Linguistic features weighting for a Text-To-Speech system without prosody model

Auteurs : Vincent Colotte [France] ; Richard Beaufort [Belgique]

Source :

RBID : Hal:hal-00012561

English descriptors

mix :
- NUU, TTS, pondération, prosodie, prosody, synthesis, synthèse, sélection, weighting.

Abstract

This paper presents a Non-Uniform Units selection-based Text-To-Speech synthesizer. Nowadays, systems use prosodic models that do not allow the prosody to vary as far as we should hope, involving a listening comfort degradation. Our system has the advantage to avoid the using of prosodic model. Speech units selection builds its features set exclusively from the linguistic information generated by the natural language analysis. We also present an original method to automatically weight these features. Therefore, selected units are not restricted by a predetermined prosody. With only using linguistic features, we obtain a various prosody and the units concatenation is performed without resort to heavy signal processing

Url:

https://hal.archives-ouvertes.fr/hal-00012561

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 002F30
to stream Hal, to step Curation: 002F30

Links to Exploration step

Hal:hal-00012561

Le document en format XML

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<front><div type="abstract" xml:lang="en">This paper presents a Non-Uniform Units selection-based Text-To-Speech synthesizer. Nowadays, systems use prosodic models that do not allow the prosody to vary as far as we should hope, involving a listening comfort degradation. Our system has the advantage to avoid the using of prosodic model. Speech units selection builds its features set exclusively from the linguistic information generated by the natural language analysis. We also present an original method to automatically weight these features. Therefore, selected units are not restricted by a predetermined prosody. With only using linguistic features, we obtain a various prosody and the units concatenation is performed without resort to heavy signal processing</div>
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<abstract xml:lang="en">This paper presents a Non-Uniform Units selection-based Text-To-Speech synthesizer. Nowadays, systems use prosodic models that do not allow the prosody to vary as far as we should hope, involving a listening comfort degradation. Our system has the advantage to avoid the using of prosodic model. Speech units selection builds its features set exclusively from the linguistic information generated by the natural language analysis. We also present an original method to automatically weight these features. Therefore, selected units are not restricted by a predetermined prosody. With only using linguistic features, we obtain a various prosody and the units concatenation is performed without resort to heavy signal processing</abstract>
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Linguistic features weighting for a Text-To-Speech system without prosody model

Linguistic features weighting for a Text-To-Speech system without prosody model

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English descriptors

Abstract

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