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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Tan, Xu (مؤلف)
مؤلف مشترك: SpringerLink (Online service)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
الطبعة:1st ed. 2023.
سلاسل:Artificial Intelligence: Foundations, Theory, and Algorithms,
الموضوعات:
الوصول للمادة أونلاين:https://doi.org/10.1007/978-981-99-0827-1
الوسوم: إضافة وسم
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الوصف
الملخص: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 introduceneural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.
وصف مادي:1 online resource (XXV, 201 p. 24 illus.). 24 illus. in color.
ردمك:9789819908271
تدمد:2365-306X
DOI:10.1007/978-981-99-0827-1