Predicting Prosody from Text for Text-to-Speech Synthesis - novo libro

EAN (ISBN-13): 9781461413387
ISBN (ISBN-10): 1461413389
Ano de publicação: 2012
Editor/Editora: Springer New York

Livro na base de dados desde 2007-09-26T11:37:07+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2023-06-09T16:59:10+01:00 (Lisbon)
Número ISBN/EAN: 9781461413387

Número ISBN - Ortografia alternativa:
1-4614-1338-9, 978-1-4614-1338-7
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: rao
Título do livro: synthesis

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Dados da editora

Autor: K. Sreenivasa Rao
Título: SpringerBriefs in Speech Technology; Predicting Prosody from Text for Text-to-Speech Synthesis
Editora: Springer; Springer US
130 Páginas
Ano de publicação: 2012-04-27
New York; NY; US
Língua: Inglês
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XII, 130 p. 42 illus.

EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Duration; Epochs; Glottal closure instants; Intonation; Linguistic constraints; Neural networks; Non-linear models; Pitch; Production constraints; Prosody; Prosody modification; Support vector machines; Text-to-speech synthesis; Time scale modification; C; Signal, Speech and Image Processing; Computational Linguistics; Natural Language Processing (NLP); Engineering; Digitale Signalverarbeitung (DSP); Computerlinguistik und Korpuslinguistik; Natürliche Sprachen und maschinelle Übersetzung; BC

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 discusses proposed methods along with state-of-the-art techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems. Positional, contextual and phonological features are proposed for representing the linguistic and production constraints of the sound units present in the text. This book is intended for graduate students and researchers working in the area of speech processing.
Explores the intuitive relation between prosody and linguistic and production constraints Proposes non-linear models such as neural networks and support vector machines for capturing the prosodic information from the linguistic and production constraints Demonstrates the use of predicted prosodic knowledge for speech, speaker and language Includes supplementary material: sn.pub/extras