Downloads · 30 days
13
3% of all-time downloads
wav2vec2-conformer-rel-pos-base-cantonese
wcfr/wav2vec2-conformer-rel-pos-base-cantonese
wav2vec2-conformer-rel-pos-base-cantonese is a machine learning model from wcfr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
wav2vec 2.0 Conformer with relative position embeddings, pretrained on 2.8K hours of Cantonese spontaneous speech data sampled at 16kHz.
All-time downloads
391
Public
Repo size
1.4 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.bin722 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2-conformer
- Access
- Public
- Created
- Jun 23, 2023
- Updated
- Aug 23, 2023
- SHA
- a0e0329b
Model card
From the Hugging Face model README
Cantonese Wav2Vec2-Conformer-Base with Relative Position Embeddings
wav2vec 2.0 Conformer with relative position embeddings, pretrained on 2.8K hours of Cantonese spontaneous speech data sampled at 16kHz.
Note: This model has not been fine-tuned on labeled text data.
Alternative Version
An alternative version of the model which was pre-trained on the same dataset but
with setting layer_norm_first to false is available here
as a fairseq checkpoint and may give better downstream results.
Citation
Please cite the following paper if you use the model.
@inproceedings{huang23h_interspeech,
author={Ranzo Huang and Brian Mak},
title={{wav2vec 2.0 ASR for Cantonese-Speaking Older Adults in a Clinical Setting}},
year=2023,
booktitle={Proc. INTERSPEECH 2023},
pages={4958--4962},
doi={10.21437/Interspeech.2023-2470}
}
- Library
- transformers
- Type
- wav2vec2-conformer
- License
- apache-2.0
- Languages
- yue
- Created
- Jun 23, 2023
- Updated
- Aug 23, 2023