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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...

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Bibliographische Detailangaben
1. Verfasser: Tan, Xu (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Ausgabe:1st ed. 2023.
Schriftenreihe:Artificial Intelligence: Foundations, Theory, and Algorithms,
Schlagworte:
Natural language processing (Computer science).
Speech processing systems.
Signal processing.
Machine learning.
Artificial intelligence.
Natural Language Processing (NLP).
Speech and Audio Processing.
Machine Learning.
Artificial Intelligence.
Online-Zugang:https://doi.org/10.1007/978-981-99-0827-1
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Inhaltsangabe:
  • Chapter 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.

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