LEADER 04091nam  22007215  450 
001 9910739431403321
005 20230629072058.0
010   $a9789819908271$b(electronic bk.)
010   $z9789819908264
024 7 $a10.1007/978-981-99-0827-1
035   $a(MiAaPQ)EBC30554439
035   $a(Au-PeEL)EBL30554439
035   $a(DE-He213)978-981-99-0827-1
035   $a(BIP)088157068
035   $a(PPN)270615709
035   $a(CKB)26801500900041
035   $a(EXLCZ)9926801500900041
100   $a20230529d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aNeural Text-to-Speech Synthesis /$fby Xu Tan
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (214 pages)
225 1 $aArtificial Intelligence: Foundations, Theory, and Algorithms,$x2365-306X
311 08$aPrint version: Tan, Xu Neural Text-To-Speech Synthesis Singapore : Springer Singapore Pte. Limited,c2023 9789819908264 
327   $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.
330   $aText-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend. This book first introduces the history of TTS technologies and overviews neural TTS, and provides preliminary knowledge on language and speech processing, neural networks and deep learning, and deep generative models. It then introduces neural TTS from the perspective of key components (text analyses, acoustic models, vocoders, and end-to-end models) and advanced topics (expressive and controllable, robust, model-efficient, and data-efficient TTS). It also points some future research directions and collects some resources related to TTS. This book is the first to introduce neural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.
410  0$aArtificial Intelligence: Foundations, Theory, and Algorithms,$x2365-306X
606   $aNatural language processing (Computer science)
606   $aSpeech processing systems
606   $aSignal processing
606   $aMachine learning
606   $aArtificial intelligence
606   $aNatural Language Processing (NLP)
606   $aSpeech and Audio Processing
606   $aMachine Learning
606   $aArtificial Intelligence
610   $aElectronics
610   $aArtificial Intelligence
610   $aComputer Sound Processing
610   $aTechnology & Engineering
610   $aComputers
615  0$aNatural language processing (Computer science).
615  0$aSpeech processing systems.
615  0$aSignal processing.
615  0$aMachine learning.
615  0$aArtificial intelligence.
615 14$aNatural Language Processing (NLP).
615 24$aSpeech and Audio Processing.
615 24$aMachine Learning.
615 24$aArtificial Intelligence.
676   $a006.54
700   $aTan$b Xu$01423732
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910739431403321
996   $aNeural Text-To-Speech Synthesis$93552093
997   $aUNINA