Dutoit An Introduction to Text-to-Speech Synthesis

Erscheinungsjahr 2013
ISBN: 978-94-011-5730-8
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 3, 285 Seiten, eBook

Reihe: Text, Speech and Language Technology

An Introduction to Text-to-Speech Synthesis
is a comprehensive introduction to the subject. The author treats two areas of speech synthesis: Part I of the book concerns natural language processing and the inherent problems it presents for speech synthesis; Part II focuses on digital signal processing, with an emphasis on the concatenative approach. Both parts of the text guide the reader through the material in a step-by-step easy-to-follow way.

This is the first book to treat the topic of speech synthesis from the perspective of two different engineering approaches. The book will be of interest to researchers and students in phonetics and speech communication, in both academia and industry.

Zielgruppe

Research

Autoren/Hrsg.

Dutoit, Thierry

Inhaltsverzeichnis

One: Introduction.- 1.1. What is speech made of?.- 1.2. What is a TTS system?.- 1.3. How do we read?.- 1.4. Yet another speech synthesizer?.- 1.5. Automatic reading: what for?.- References.- One From Text to Its Narrow Phonetic Transcription.- Two: Grammars, Inference, Parsing and Transduction.- Three: NLP Architectures for TTS Synthesis.- Four: Morpho-Syntactic Analysis.- Five: Automatic Phonetization.- Six: Automatic Prosody Generation.- Two From Narrow Phonetic Transcription to Speech.- Seven: Synthesis Strategies.- Eight: Linear Prediction Synthesis.- Nine: Hybrid Harmonic / Stochastic Synthesis.- Ten: Time-Domain Algorithms.- Eleven: Conclusions and Perspectives.

Über Autor(innen)

Thierry Dutoit
graduated as an electrical engineer and PhD from the Faculté Polytechnique de Mons, Belgium, in 1988 and 1993, respectively. He is now assistant professor at the Faculté Polytechnique de Mons and consultant for AT&T Labs Research in Murray Hill, New Jersey, USA. He is the author of the widely acclaimed MBROLA high quality free speech synthesis project.