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Automatic Speech Recognition System-Independent Word Error Rate Estimatio
April 26, 2024, 4:47 a.m. | Chanho Park, Mingjie Chen, Thomas Hain
cs.CL updates on arXiv.org arxiv.org
Abstract: Word error rate (WER) is a metric used to evaluate the quality of transcriptions produced by Automatic Speech Recognition (ASR) systems. In many applications, it is of interest to estimate WER given a pair of a speech utterance and a transcript. Previous work on WER estimation focused on building models that are trained with a specific ASR system in mind (referred to as ASR system-dependent). These are also domain-dependent and inflexible in real-world applications. In …
abstract applications arxiv asr automatic speech recognition cs.cl cs.sd eess.as error independent quality rate recognition speech speech recognition systems type word work
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