000			03877nam a22006015i 4500
001			978-981-99-0827-1
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005			20240207153607.0
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008			230529s2023 si | s |||| 0|eng d
020			_a9789819908271 _9978-981-99-0827-1
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100	1		_aTan, Xu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aNeural Text-to-Speech Synthesis _h[electronic resource] / _cby Xu Tan.
250			_a1st ed. 2023.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023.
300			_aXXV, 201 p. 24 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aArtificial Intelligence: Foundations, Theory, and Algorithms, _x2365-306X
500			_aAcceso multiusuario
505	0		_aChapter 1. Introduction -- Part 1. Preliminary -- Chapter 2. Basics of Spoken Language Processing -- Chapter 3. Basics of Deep Learning -- Part 2. Key Components in TTS -- Chapter 4. Text Analyses -- Chapter 5. Acoustic Models -- Chapter 6. Vocoders -- Chapter 7. Fully End-to-End TTS -- Part 3. Advanced Topics in TTS -- Chapter 8. Expressive and Controllable TTS -- Chapter 9. Robust TTS -- Chapter 10. Model-Efficient TTS -- Chapter 11. Data-Efficient TTS -- Chapter 12. Beyond Text-to-Speech Synthesis -- Part 4. Summary and Outlook -- Chapter 13. Summary and Outlook.
520			_aText-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.
541			_fUABC ; _cPerpetuidad
650		0	_aNatural language processing (Computer science).
650		0	_aSpeech processing systems.
650		0	_aSignal processing.
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650	1	4	_aNatural Language Processing (NLP).
650	2	4	_aSpeech and Audio Processing.
650	2	4	_aMachine Learning.
650	2	4	_aArtificial Intelligence.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789819908264
776	0	8	_iPrinted edition: _z9789819908288
776	0	8	_iPrinted edition: _z9789819908295
830		0	_aArtificial Intelligence: Foundations, Theory, and Algorithms, _x2365-306X
856	4	0	_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-0827-1
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
942			_cLIBRO_ELEC
999			_c261668 _d261667