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---
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license:
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---
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---
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license: apache-2.0
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language:
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- yue
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library_name: transformers
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---
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# Cantonese Wav2Vec2-Conformer-Base with Relative Position Embeddings
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wav2vec 2.0 Conformer with relative position embeddings, pretrained on
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2.8K hours of Cantonese spontaneous speech data sampled at 16kHz.
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Note: This model has not been fine-tuned on labeled text data.
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## Alternative Version
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An alternative version of the model which was pre-trained on the same dataset but
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sets `layer_norm_first` to `false` is available [here](https://drive.google.com/file/d/1rbP-6pZfR5ieqAwd5_X2KzipLuKpXSsQ/view?usp=sharing)
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as a fairseq checkpoint and may give better downstream results.
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## Citation
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Please cite the following paper if you use the model.
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```
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@inproceedings{rcfhuang23_interspeech,
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author = {Ranzo C. F. Huang and Brian Mak},
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year = {2023},
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title = {{wav2vec 2.0 ASR} for {Cantonese}-Speaking Older Adults in a Clinical Setting},
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booktitle = {Interspeech 2023},
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pubstate = {forthcoming},
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}
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```
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