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The voice synthesis business: 2022 update

Robert Dale

2022Natural Language Engineering13 citationsDOIOpen Access PDF

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.

Topics & Concepts

Computer scienceScope (computer science)Quality (philosophy)Cloud computingCommodityRange (aeronautics)Speech synthesisInvestment (military)Data scienceSpace (punctuation)Artificial intelligenceFinanceOperating systemBusinessProgramming languagePoliticsLawPolitical scienceEpistemologyComposite materialPhilosophyMaterials scienceSpeech Recognition and SynthesisTopic ModelingNatural Language Processing Techniques
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