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cs.CL2024★ 43 cited
Measuring the Accuracy of Automatic Speech Recognition Solutions
Korbinian Kuhn, Verena Kersken, Benedikt Reuter +2
For d/Deaf and hard of hearing (DHH) people, captioning is an essential accessibility tool. Significant developments in artificial intelligence (AI) mean that Automatic Speech Reco…
cs.CL2024★ 1 cited
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error Classifications
Korbinian Kuhn, Verena Kersken, Gottfried Zimmermann
The Word Error Rate (WER) is the common measure of accuracy for Automatic Speech Recognition (ASR). Transcripts are usually pre-processed by substituting specific characters to acc…