Neural Text-to-Speech Synthesis
Title | Neural Text-to-Speech Synthesis PDF eBook |
Author | Xu Tan |
Publisher | Springer Nature |
Pages | 214 |
Release | 2023-05-29 |
Genre | Computers |
ISBN | 9819908272 |
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
Title | Text-to-Speech Synthesis PDF eBook |
Author | Paul Taylor |
Publisher | Cambridge University Press |
Pages | 626 |
Release | 2009-02-19 |
Genre | Computers |
ISBN | 0521899273 |
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.
An Introduction to Text-to-Speech Synthesis
Title | An Introduction to Text-to-Speech Synthesis PDF eBook |
Author | Thierry Dutoit |
Publisher | Springer Science & Business Media |
Pages | 306 |
Release | 2013-12-01 |
Genre | Technology & Engineering |
ISBN | 9401157308 |
This is the first book to treat two areas of speech synthesis: natural language processing and the inherent problems it presents for speech synthesis; and digital signal processing, with an emphasis on the concatenative approach. The text guides the reader through the material in a step-by-step easy-to-follow way. The book will be of interest to researchers and students in phonetics and speech communication, in both academia and industry.
Artificial Neural Networks for Speech Analysis/synthesis
Title | Artificial Neural Networks for Speech Analysis/synthesis PDF eBook |
Author | Mazin G. Rahim |
Publisher | Kluwer Academic Publishers |
Pages | 224 |
Release | 1994 |
Genre | Computers |
ISBN |
Speech-to-Speech Translation
Title | Speech-to-Speech Translation PDF eBook |
Author | Yutaka Kidawara |
Publisher | Springer Nature |
Pages | 103 |
Release | 2019-11-22 |
Genre | Computers |
ISBN | 9811505950 |
This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind. People, society, and economy connected by S2S will demonstrate explosive growth without exception. In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades. Now, we see S2S application on smartphone/tablet around the world. Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning. Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life. Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation. The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.
Speech, Hearing and Neural Network Models
Title | Speech, Hearing and Neural Network Models PDF eBook |
Author | Seiichi Nakagawa |
Publisher | IOS Press |
Pages | 229 |
Release | 1995-01-01 |
Genre | Automatic speech recognition |
ISBN | 9784274900075 |
Predicting Prosody from Text for Text-to-Speech Synthesis
Title | Predicting Prosody from Text for Text-to-Speech Synthesis PDF eBook |
Author | K. Sreenivasa Rao |
Publisher | Springer Science & Business Media |
Pages | 136 |
Release | 2012-04-27 |
Genre | Technology & Engineering |
ISBN | 1461413389 |
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.