Word Error Rate Estimation for Speech Recognition: e-WER
<p dir="ltr">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, wh...
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| Main Author: | Ahmed Ali (705582) (author) |
|---|---|
| Other Authors: | Steve Renals (17196391) (author) |
| Published: |
2018
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