Measuring the Accuracy of Automatic Speech Recognition Solutions
Korbinian Kuhn, Verena Kersken, Benedikt Reuter, Niklas Egger, Gottfried Zimmermann · 2024 · ACM Transactions on Accessible Computing
This study provides independent, comprehensive benchmarking of 11 common automatic speech recognition (ASR) services to assess their real-world accuracy for accessibility purposes. The research addresses a critical gap: while vendors claim "state-of-the-art accuracy" and…
automatic speech recognition · ASR · captions · deaf and hard of hearing · transcription