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

EAN (ISBN-13): 9781461413387
ISBN (ISBN-10): 1461413389
Anno di pubblicazione: 2012
Editore: Springer New York

Libro nella banca dati dal 2007-09-26T12:37:07+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-06-09T17:59:10+02:00 (Rome)
ISBN/EAN: 9781461413387

ISBN - Stili di scrittura alternativi:
1-4614-1338-9, 978-1-4614-1338-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : rao
Titolo del libro: synthesis

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Dati dell'editore

Autore: K. Sreenivasa Rao
Titolo: SpringerBriefs in Speech Technology; Predicting Prosody from Text for Text-to-Speech Synthesis
Editore: Springer; Springer US
130 Pagine
Anno di pubblicazione: 2012-04-27
New York; NY; US
Lingua: Inglese
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