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Multispeaker WER #34
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I think there are two ways of implementing this:
How would you use this feature? Are there many speech datasets which have this problem? |
Thanks for your answer.
All datasets that include overlapping speech have this problem. Few examples: Chime5-6, AMI, wsj0-mix, Librimix. In order to evaluate speech separation algorithm, this seems to be needed. I'd go with solution 1. |
Hi, thanks a bunch for this tool !
When working with speech mixtures, WER can take into account that words from each speaker might be picked up.
There is a description of the method here: https://my.fit.edu/~vkepuska/ece5527/sctk-2.3-rc1/doc/asclite.html
Would you be willing to integrate this feature in Jiwer?
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