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--- |
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language: |
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- vi |
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tags: |
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- audio |
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- automatic-speech-recognition |
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- hf-asr-leaderboard |
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library_name: transformers.js |
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pipeline_tag: automatic-speech-recognition |
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widget: |
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- example_title: Librispeech sample 1 |
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src: https://cdn-media.huggingface.co/speech_samples/sample1.flac |
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- example_title: Librispeech sample 2 |
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac |
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license: wtfpl |
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--- |
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https://hf.co/vinai/PhoWhisper-small with ONNX weights to be compatible with Transformers.js. |
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Please check out this demo using the model: |
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[](https://huggingface.co/spaces/huuquyet/PhoWhisper-next) |
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# PhoWhisper: Automatic Speech Recognition for Vietnamese |
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We introduce **PhoWhisper** in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual [Whisper](https://github.com/openai/whisper) on an 844-hour dataset that encompasses diverse Vietnamese accents. Our experimental study demonstrates state-of-the-art performances of PhoWhisper on benchmark Vietnamese ASR datasets. Please **cite** our PhoWhisper paper when it is used to help produce published results or is incorporated into other software: |
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``` |
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@inproceedings{PhoWhisper, |
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title = {{PhoWhisper: Automatic Speech Recognition for Vietnamese}}, |
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author = {Thanh-Thien Le and Linh The Nguyen and Dat Quoc Nguyen}, |
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booktitle = {Proceedings of the ICLR 2024 Tiny Papers track}, |
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year = {2024} |
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} |
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``` |
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For further information or requests, please go to [PhoWhisper's homepage](https://github.com/VinAIResearch/PhoWhisper)! |
