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Electrical Engineering and Systems Science > Audio and Speech Processing

Title: a survey on neural speech synthesis.

Abstract: Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural speech given text, is a hot research topic in speech, language, and machine learning communities and has broad applications in the industry. As the development of deep learning and artificial intelligence, neural network-based TTS has significantly improved the quality of synthesized speech in recent years. In this paper, we conduct a comprehensive survey on neural TTS, aiming to provide a good understanding of current research and future trends. We focus on the key components in neural TTS, including text analysis, acoustic models and vocoders, and several advanced topics, including fast TTS, low-resource TTS, robust TTS, expressive TTS, and adaptive TTS, etc. We further summarize resources related to TTS (e.g., datasets, opensource implementations) and discuss future research directions. This survey can serve both academic researchers and industry practitioners working on TTS.

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IMAGES

  1. Speech Recognition using Convolutional Neural Networks

    text to speech neural network

  2. Neural Network Architecture for Text-to-Speech Synthesis

    text to speech neural network

  3. Speech Synthesis Techniques using Deep Neural Networks

    text to speech neural network

  4. Azure AI milestone: New Neural Text-to-Speech models more closely

    text to speech neural network

  5. Convolutional Neural Network Architecture for Speech Recognition

    text to speech neural network

  6. 语音到文本引擎的声学模型训练-腾讯云开发者社区-腾讯云

    text to speech neural network

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COMMENTS

  1. Text-To-Speech Synthesis

    Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention. coqui-ai/TTS • • 24 Oct 2017. This paper describes a novel text-to-speech (TTS) technique based on deep convolutional neural networks (CNN), without use of any recurrent units.

  2. [2106.15561] A Survey on Neural Speech Synthesis

    This paper provides a comprehensive overview of neural TTS, a research topic that aims to synthesize natural and intelligible speech from text. It covers the key components, advanced topics, and future directions of neural TTS, as well as the related resources and references.