Download or read book Neural Text to Speech Synthesis written by Xu Tan and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Text to Speech Synthesis written by Paul Taylor and published by Cambridge University Press. This book was released on 2009-02-19 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Neural Text to Speech Synthesis written by Xu Tan and published by Springer Nature. This book was released on 2023-05-29 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book An Introduction to Text to Speech Synthesis written by Thierry Dutoit and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Speech to Speech Translation written by Yutaka Kidawara and published by Springer Nature. This book was released on 2019-11-22 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Neural Networks for Speech Analysis synthesis written by Mazin G. Rahim and published by Kluwer Academic Publishers. This book was released on 1994 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multilingual Text to Speech Synthesis written by Richard Sproat and published by Springer. This book was released on 1997-10-31 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilingual Text-to-Speech Synthesis: The Bell Labs Approach is the first monograph-length description of the Bell Labs work on multilingual text-to-speech synthesis. Every important aspect of the system is described, including text analysis, segmental timing, intonation and synthesis. There is also a discussion of evaluation methodologies, as well as a chapter outlining some future areas of research. While the book focuses on the Bell Labs approach to the various problems of converting from text into speech, other approaches are discussed and compared. Thus, this book serves both the function of providing a single reference to an important strand of research in multilingual synthesis, while at the same time providing a source of information on current trends in the field. Chapters in this work were contributed by Richard Sproat, Jan van Santen, Bernd Möbius, Chilin Shih, Joseph Olive, Evelyne Tzoukermann, all of Bell Labs, and Kazuaki Maeda of the University of Pennsylvania.
Download or read book Predicting Prosody from Text for Text to Speech Synthesis written by K. Sreenivasa Rao and published by Springer Science & Business Media. This book was released on 2012-04-27 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Neural Networks and Speech Processing written by David P. Morgan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: We would like to take this opportunity to thank all of those individ uals who helped us assemble this text, including the people of Lockheed Sanders and Nestor, Inc., whose encouragement and support were greatly appreciated. In addition, we would like to thank the members of the Lab oratory for Engineering Man-Machine Systems (LEMS) and the Center for Neural Science at Brown University for their frequent and helpful discussions on a number of topics discussed in this text. Although we both attended Brown from 1983 to 1985, and had offices in the same building, it is surprising that we did not meet until 1988. We also wish to thank Kluwer Academic Publishers for their profes sionalism and patience, and the reviewers for their constructive criticism. Thanks to John McCarthy for performing the final proof, and to John Adcock, Chip Bachmann, Deborah Farrow, Nathan Intrator, Michael Perrone, Ed Real, Lance Riek and Paul Zemany for their comments and assistance. We would also like to thank Khrisna Nathan, our most unbi ased and critical reviewer, for his suggestions for improving the content and accuracy of this text. A special thanks goes to Steve Hoffman, who was instrumental in helping us perform the experiments described in Chapter 9.
Download or read book Text to Speech Synthesis written by Shrikanth Narayanan and published by Prentice-Hall PTR. This book was released on 2005 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2011 Carol Award winner for Debut Author from ACFW (American Christian Fiction Writers)Jenny Lucas swore she'd never go home again. But being told you're dying has a way of changing things. Years after she left, she and her five-year-old daughter, Isabella, must return to her sleepy North Carolina town to face the ghosts she left behind. They welcome her in the form of her oxygen tank-toting grandmother, her stoic and distant father, and David, Isabella's dad . . . Who doesn't yet know he has a daughter. As Jenny navigates the rough and unknown waters of her new reality, the unforgettable story that unfolds is a testament to the power of love and its ability to change everything-to heal old hurts, bring new beginnings . . . Even overcome the impossible. A stunning debut about love and loss from a talented new voice.
Download or read book Speech and Computer written by Alexey Karpov and published by Springer Nature. This book was released on 2021-09-22 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 23rd International Conference on Speech and Computer, SPECOM 2021, held in St. Petersburg, Russia, in September 2021.* The 74 papers presented were carefully reviewed and selected from 163 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources. *Due to the COVID-19 pandemic, SPECOM 2021 was held as a hybrid event.
Download or read book Handbook of the Changing World Language Map written by Stanley D. Brunn and published by Springer. This book was released on 2019-11-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference work delivers an interdisciplinary, applied spatial and geographical approach to the study of languages and linguistics. This work includes chapters and sections related to language origins, diffusion, conflicts, policies, education/instruction, representation, technology, regions, and mapping. Also addressed is the mapping of languages and linguistic diversity, on language in the context of politics, on the relevance of language to cultural identity, on language minorities and endangered languages, and also on language and the arts and non-human language and communication. This reference work looks at the subject matter and contributors to the disciplines and programs in the social sciences and humanities, and the dearth of materials on languages and linguistics. The topics covered are not only discipline-centered, but in the cutting-edge fields that intersect several disciplines and also cut across the social sciences and humanities. These include gender studies, sustainability and development, technology and social media impacts, law and human rights, climate change, public health and epidemiology, architecture, religion, visual representation and mapping. These new and emerging research directions and other intersecting fields are not traditionally discipline-bounded, but cut across numerous fields. The volumes will appeal to those within existing fields and disciplines and those working the intersections at local, regional and global scales.
Download or read book Speech Hearing and Neural Network Models written by Seiichi Nakagawa and published by IOS Press. This book was released on 1995-01-01 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Supervised Sequence Labelling with Recurrent Neural Networks written by Alex Graves and published by Springer. This book was released on 2012-02-06 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary. The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions; this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional recurrent neural networks extend the framework in a natural way to data with more than one spatio-temporal dimension, such as images and videos. Thirdly, the use of hierarchical subsampling makes it feasible to apply the framework to very large or high resolution sequences, such as raw audio or video. Experimental validation is provided by state-of-the-art results in speech and handwriting recognition.
Download or read book Computing and Data Science written by Weijia Cao and published by Springer Nature. This book was released on 2022-01-12 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the Third International Conference on Computing and Data Science, CONF-CDS 2021, held online in August 2021. The 22 full papers 9 short papers presented in this volume were thoroughly reviewed and selected from the 85 qualified submissions. They are organized in topical sections on advances in deep learning; algorithms in machine learning and statistics; advances in natural language processing.
Download or read book Intelligent Speech Signal Processing written by Nilanjan Dey and published by Academic Press. This book was released on 2019-06-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning, and data mining Illustrates different applications and challenges across the design, implementation, and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks
Download or read book Speech Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
