espnet
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geolid_combined_shared_trainable

language-identification

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qingzhengwang commited on 2 days ago

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Fix readme

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@@ -205,7 +205,7 @@ This will download the pre-trained model and run inference.
 The training utilized a combined dataset, merging five domain-specific corpora, resulting in 9,865 hours of speech data covering 157 languages.
-| Dataset       | Domain      | #Langs. Train/Test | Dialect | Training Setup (VL107-only) |
 | ------------- | ----------- | ------------------ | ------- | --------------------------- |
 | [VoxLingua107](https://cs.taltech.ee/staff/tanel.alumae/data/voxlingua107/)  | YouTube     | 107/33             | No      | Seen                        |
 | [Babel](https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=31a13cefb42647e924e0d2778d341decc44c40e9)         | Telephone   | 25/25              | No      | Seen                      |

 The training utilized a combined dataset, merging five domain-specific corpora, resulting in 9,865 hours of speech data covering 157 languages.
+| Dataset       | Domain      | #Langs. Train/Test | Dialect | Training Setup (Combined) |
 | ------------- | ----------- | ------------------ | ------- | --------------------------- |
 | [VoxLingua107](https://cs.taltech.ee/staff/tanel.alumae/data/voxlingua107/)  | YouTube     | 107/33             | No      | Seen                        |
 | [Babel](https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=31a13cefb42647e924e0d2778d341decc44c40e9)         | Telephone   | 25/25              | No      | Seen                      |