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@@ -57,10 +57,16 @@ With streaming, the results with different chunk sizes on the test split are the
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  | | full | cs=32 (1280ms) | 24 (960ms) | 16 (640ms) | 12 (480ms) | 8 (320ms) |
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  |:-----:|:------:|:------:|:------:|:------:|:------:|:------:|
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  | full | 11.00% | - | - | - | - | - |
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- | 16 | - | - | - | TBD | 11.84% | TBD |
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- | 8 | - | - | 11.50% | TBD | TBD | TBD |
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- | 4 | - | 11.40% | 11.53% | TBD | TBD | TBD |
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- | 2 | - | 11.46% | 11.67% | TBD | TBD | TBD |
 
 
 
 
 
 
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  ## Pipeline description
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  | | full | cs=32 (1280ms) | 24 (960ms) | 16 (640ms) | 12 (480ms) | 8 (320ms) |
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  |:-----:|:------:|:------:|:------:|:------:|:------:|:------:|
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  | full | 11.00% | - | - | - | - | - |
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+ | 16 | - | - | - | 11.70% | 11.84% | 12.14% |
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+ | 8 | - | - | 11.50% | 11.72% | 11.88% | 12.28% |
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+ | 4 | - | 11.40% | 11.53% | 11.81% | 12.03% | 12.64% |
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+ | 2 | - | 11.46% | 11.67% | 12.03% | 12.43% | 13.25% |
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+ | 1\* | - | 11.59% | TBD | TBD | TBD | TBD |
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+
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+ (\*: model was never explicitly trained with this setting)
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+
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+ When comparing configurations, bear in mind that the utterances of the test set are of a finite length.
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+ All WER values were evaluated using [this script](https://gist.github.com/asumagic/66aaf43156c31866cf2ebcffda46ea01) (until we integrate a nicer way to evaluate streaming WER in different conditions).
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  ## Pipeline description
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