Predicting Prosody from Text for Text-to-Speech Synthesis
Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sreenivasa Rao discus...
Enregistré dans:
| Hovedforfatter: | |
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| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
2012.
Cham : Springer Nature |
| Serier: | SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Predicting prosody from text for text-to-speech synthesis, K. Sreenivasa Rao, New York, Springer, 2012, 1 vol. (XII-130 pages), SpringerBriefs in electrical and computer engineering, 978-1-461-41337-0 • Predicting Prosody from Text for Text-to-Speech Synthesis, Texte imprimé, 9781461413394 |