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espnet
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mms_ulab_v2

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Audio Classification

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wanchichen commited on Jul 1

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@@ -4057,7 +4057,7 @@ MMS ulab v2 is a reproduced and extended version of the MMS ulab dataset origina
 This dataset includes the raw unsegmented audio in a 16kHz single channel format. It can be segmented into utterances with a voice activity detection (VAD) model such as [this one](https://github.com/wiseman/py-webrtcvad).
 We use 6700 hours of MMS ulab v2 (post-segmentation) to train [XEUS](https://huggingface.co/espnet/xeus), a multilingual speech encoder for 4000+ languages.
-For more details about the dataset and its usage, please refer to our [paper]().
 ## License and Acknowledgement

 This dataset includes the raw unsegmented audio in a 16kHz single channel format. It can be segmented into utterances with a voice activity detection (VAD) model such as [this one](https://github.com/wiseman/py-webrtcvad).
 We use 6700 hours of MMS ulab v2 (post-segmentation) to train [XEUS](https://huggingface.co/espnet/xeus), a multilingual speech encoder for 4000+ languages.
+For more details about the dataset and its usage, please refer to our [paper](https://wanchichen.github.io/pdf/xeus.pdf) or [project page](https://www.wavlab.org/activities/2024/xeus/).
 ## License and Acknowledgement