Benchmarking open source and paid services for speech to text: an analysis of quality and input variety

Benchmarking open source and paid services for speech to text: an analysis of quality and input variety

IntroductionSpeech to text (STT) technology has seen increased usage in recent years for automating transcription of spoken language. To choose the most suitable tool for a given task, it is essential to evaluate the performance and quality of both open source and paid STT services.MethodsIn this pa...

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Bibliographic Details
Main Authors: Antonino Ferraro, Antonio Galli, Valerio La Gatta, Marco Postiglione
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Big Data
Subjects:
ASR
speech to text
speech recognition
benchmark
multimedia
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2023.1210559/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2023.1210559/full

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