Predicting Prosody from Text for Text-to-Speech Synthesis - pocketboek

EAN (ISBN-13): 9781461413370
ISBN (ISBN-10): 1461413370
Gebonden uitgave
pocket book
Verschijningsjaar: 2011
Uitgever: Springer
130 Bladzijden
Gewicht: 0,237 kg
Taal: Englisch

Boek bevindt zich in het datenbestand sinds 2008-12-07T21:20:53+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-01-23T19:58:02+01:00 (Amsterdam)
ISBN/EAN: 1461413370

ISBN - alternatieve schrijfwijzen:
1-4614-1337-0, 978-1-4614-1337-0
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: rao
Titel van het boek: synthesis, spee, predict, speech, electrical technology, computer

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Gegevens van de uitgever

Auteur: K. Sreenivasa Rao
Titel: SpringerBriefs in Speech Technology; Predicting Prosody from Text for Text-to-Speech Synthesis
Uitgeverij: Springer; Springer US
130 Bladzijden
Verschijningsjaar: 2012-04-27
New York; NY; US
Gedrukt / Gemaakt in
Taal: Engels
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XII, 130 p. 42 illus.

BC; Hardcover, Softcover / 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; Signal, Speech and Image Processing; Computational Linguistics; Natural Language Processing (NLP); Digitale Signalverarbeitung (DSP); Computerlinguistik und Korpuslinguistik; Natürliche Sprachen und maschinelle Übersetzung; EA

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