Neural Text To Speech Synthesis
Download Neural Text To Speech Synthesis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neural Text To Speech Synthesis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Neural Text-to-Speech Synthesis
Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend. This book first introduces the history of TTS technologies and overviews neural TTS, and provides preliminary knowledge on language and speech processing, neural networks and deep learning, and deep generative models. It then introduces neural TTS from the perspective of key components (text analyses, acoustic models, vocoders, and end-to-end models) and advanced topics (expressive and controllable, robust, model-efficient, and data-efficient TTS). It also points some future research directions and collects some resources related to TTS. This book is the first to introduce neural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.
Text-to-Speech Synthesis
Author: Paul Taylor
language: en
Publisher: Cambridge University Press
Release Date: 2009-02-19
Text-to-Speech Synthesis provides a complete, end-to-end account of the process of generating speech by computer. Giving an in-depth explanation of all aspects of current speech synthesis technology, it assumes no specialised prior knowledge. Introductory chapters on linguistics, phonetics, signal processing and speech signals lay the foundation, with subsequent material explaining how this knowledge is put to use in building practical systems that generate speech. Including coverage of the very latest techniques such as unit selection, hidden Markov model synthesis, and statistical text analysis, explanations of the more traditional techniques such as format synthesis and synthesis by rule are also provided. Weaving together the various strands of this multidisciplinary field, the book is designed for graduate students in electrical engineering, computer science, and linguistics. It is also an ideal reference for practitioners in the fields of human communication interaction and telephony.
Text-to-Speech Systems and Algorithms
"Text-to-Speech Systems and Algorithms" “Text-to-Speech Systems and Algorithms” is a comprehensive technical guide that meticulously navigates the landscape of modern speech synthesis. From the foundations of classical TTS architectures to cutting-edge neural techniques, this book unpacks the scientific principles and engineering innovations underpinning the field. It closely examines the historical evolution of text-to-speech, deconstructs TTS pipelines into their core components, and explores the intersection of linguistic processing, acoustic modeling, and system optimization, presenting both theoretical frameworks and practical benchmarks. Delving deeply into areas such as linguistic preprocessing, acoustic and prosodic modeling, and advanced neural architectures, the book covers critical topics including text normalization, grapheme-to-phoneme conversion, prosody generation, and expressive speech synthesis. Chapters dedicated to speaker modeling, voice cloning, and multi-speaker synthesis address the latest advancements and ethical considerations, including bias mitigation and privacy preservation. The book further explores evaluation standards, deployment strategies for cloud and edge, as well as robust security and compliance measures for real-world applications. Intended for researchers, engineers, and practitioners, this volume goes beyond algorithms to discuss deployment, scalability, user integration, and future directions of TTS technology. Case studies highlight applications across diverse sectors—from assistive technologies and virtual agents to media production—while dedicated sections identify open challenges, emerging multimodal use cases, and invaluable open-source resources. “Text-to-Speech Systems and Algorithms” stands as an authoritative reference for mastering both the foundations and the forward edge of synthetic speech.