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add paper link

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@@ -52,4 +52,20 @@ Word Error Rates on different test sets.
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  |ASR_subtitles_v2|180M|**6.49**|**8.63**|
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  |ASR_subtitles_v2_small|70M|6.93|9.30|
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  |Whisper large finetuned|1550M|7.83|10.64|
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- |Whisper large v3|1550M|11.54|13.76|
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  |ASR_subtitles_v2|180M|**6.49**|**8.63**|
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  |ASR_subtitles_v2_small|70M|6.93|9.30|
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  |Whisper large finetuned|1550M|7.83|10.64|
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+ |Whisper large v3|1550M|11.54|13.76|
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+
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+
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+ ## Research
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+
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+ Details on the models, training data and experiments can be found in the following research paper.
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+ If you use our ASR models, please consider citing it.
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+
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+ ```bibtex
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+ @article{poncelet2024,
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+ author = "Poncelet, Jakob and Van hamme, Hugo",
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+ title = "Leveraging Broadcast Media Subtitle Transcripts for Automatic Speech Recognition and Subtitling",
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+ year={2024},
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+ journal={arXiv preprint arXiv:2502.03212},
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+ url = {https://arxiv.org/abs/2502.03212}
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+ }
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+ ```