The voice synthesis business: 2022 update. (May 2022)

• Record Type: Journal Article
• Authors: Dale, Robert
• Is Part Of: Natural language engineering. Volume 28:Number 3(2022)
• Page Start: 401
• Page End: 408
• Publication Date: 2022-05
• Subjects: Natural language processing (Computer science) -- Periodicals; Software engineering -- Periodicals; 006.35
• DOI: 10.1017/S1351324922000146
• Languages: English
• ISSNs: 1351-3249

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.