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.
Cite
CITATION STYLE
Dale, R. (2022). The voice synthesis business: 2022 update. Natural Language Engineering, 28(3), 401–408. https://doi.org/10.1017/S1351324922000146
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