Papers with speech recognizers
Evaluation of Off-the-shelf Speech Recognizers Across Diverse Dialogue Domains (2020.lrec-1)
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| Challenge: | a recent study evaluated off-the-shelf automatic speech recognition systems . current state-of-the art systems perform poorly in domains that require special vocabulary and language models . |
| Approach: | They evaluate off-the-shelf automatic speech recognition systems across different dialogue domains . they use data collected from deployed spoken dialogue systems and human-human conversations . |
| Outcome: | The evaluation is aimed at non-experts with limited experience in speech recognition . the results show that the performance of each speech recognizer can vary significantly depending on the domain . |