The voice synthesis business: 2022 update

IF 2.3 3区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Natural Language Engineering Pub Date : 2022-04-08 DOI:10.1017/S1351324922000146

R. Dale

引用次数: 6

Abstract

Abstract In the past few years, high-quality automated text-to-speech synthesis has effectively become a commodity, with easy access to cloud-based APIs provided by a number of major players. At the same time, developments in deep learning have broadened the scope of voice synthesis functionalities that can be delivered, leading to a growth in the range of commercially viable use cases. We take a look at the technology features and use cases that have attracted attention and investment in the past few years, identifying the major players and recent start-ups in the space.

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语音合成业务：2022年更新

在过去的几年中，高质量的自动文本到语音合成已经有效地成为一种商品，可以轻松访问由许多主要参与者提供的基于云的api。与此同时，深度学习的发展扩大了可交付的语音合成功能的范围，导致商业上可行的用例范围的增长。我们来看看在过去几年中吸引了关注和投资的技术特性和用例，确定该领域的主要参与者和最近的初创企业。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Natural Language Engineering COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

5.90

自引率

12.00%

发文量

审稿时长

>12 weeks

期刊介绍： Natural Language Engineering meets the needs of professionals and researchers working in all areas of computerised language processing, whether from the perspective of theoretical or descriptive linguistics, lexicology, computer science or engineering. Its aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. As well as publishing research articles on a broad range of topics - from text analysis, machine translation, information retrieval and speech analysis and generation to integrated systems and multi modal interfaces - it also publishes special issues on specific areas and technologies within these topics, an industry watch column and book reviews.