Word Error Rate Estimation for Speech Recognition: e-WER

ACL 2018 Ahmed AliSteve Renals

Measuring the performance of automatic speech recognition (ASR) systems requires manually transcribed data in order to compute the word error rate (WER), which is often time-consuming and expensive. In this paper, we propose a novel approach to estimate WER, or e-WER, which does not require a gold-standard transcription of the test set... (read more)

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