Papers by Jan Mizgajski
WER we are and WER we think we are (2020.findings-emnlp)
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Piotr Szymański, Piotr Żelasko, Mikolaj Morzy, Adrian Szymczak, Marzena Żyła-Hoppe, Joanna Banaszczak, Lukasz Augustyniak, Jan Mizgajski, Yishay Carmiel
| Challenge: | Recent reports of very low word error rates (WERs) achieved by modern automatic speech recognition systems are skepticism towards the accuracy of modern systems. |
| Approach: | They propose to use a dataset to test automatic speech recognition systems . they propose guidelines for creating real-life datasets with high quality annotations . |
| Outcome: | The proposed system achieves 81% of accuracy on human-chatbot interactions compared to the best reported results on human conversations and public benchmarks. |