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@@ -58,4 +58,20 @@ pretty_name: SpokenWOZ -- Whisper Transcripts
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  # SpokenWOZ With Whisper Transcripts
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  This is a custom version of the SpokenWOZ dataset with all the original transcripts replaced by transcripts generated by Whisper-large-v3. We manually
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  transcribed 1000 utterances from the `test` set and like this estimate the WER of the original ASR to be ~29% and the WER of the Whisper transcripts to
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- be ~5.3%.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # SpokenWOZ With Whisper Transcripts
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  This is a custom version of the SpokenWOZ dataset with all the original transcripts replaced by transcripts generated by Whisper-large-v3. We manually
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  transcribed 1000 utterances from the `test` set and like this estimate the WER of the original ASR to be ~29% and the WER of the Whisper transcripts to
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+ be ~5.3%.
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+
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+ ### Citation Information
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+
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+ ```
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+ @misc{si2024spokenwozlargescalespeechtextbenchmark,
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+ title={SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents},
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+ author={Shuzheng Si and Wentao Ma and Haoyu Gao and Yuchuan Wu and Ting-En Lin and Yinpei Dai and Hangyu Li and Rui Yan and Fei Huang and Yongbin Li},
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+ year={2024},
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+ eprint={2305.13040},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2305.13040},
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+ }
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+ ```
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+
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+ arxiv.org/abs/2305.13040