VinAIResearch/PhoWhisper

PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)

261

9 commits

updated Nov 12, 2024

See the code

README

PhoWhisper: Automatic Speech Recognition for Vietnamese

We introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual 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:

@inproceedings{PhoWhisper,
  title     = {{PhoWhisper: Automatic Speech Recognition for Vietnamese}},
  author    = {Thanh-Thien Le and Linh The Nguyen and Dat Quoc Nguyen},
  booktitle = {Proceedings of the ICLR 2024 Tiny Papers track},
  year      = {2024}
}

Model download & WER results

Model#parasCMV–ViVIVOSVLSP 2020 Task-1VLSP 2020 Task-2
vinai/PhoWhisper-tiny39M19.0510.4120.7449.85
vinai/PhoWhisper-base74M16.198.4619.7043.01
vinai/PhoWhisper-small244M11.086.3315.9332.96
vinai/PhoWhisper-medium769M8.274.9714.1226.85
vinai/PhoWhisper-large1.55B8.144.6713.7526.68

Run the model

Example usage with transformers

from transformers import pipeline
transcriber = pipeline("automatic-speech-recognition", model="vinai/PhoWhisper-small")
output = transcriber(path_to_audio_with_sampling_rate_16kHz)['text']

VinAIResearch/PhoWhisper

PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)

261

9 commits

updated Nov 12, 2024

See the code

README

PhoWhisper: Automatic Speech Recognition for Vietnamese

We introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual 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:

@inproceedings{PhoWhisper,
  title     = {{PhoWhisper: Automatic Speech Recognition for Vietnamese}},
  author    = {Thanh-Thien Le and Linh The Nguyen and Dat Quoc Nguyen},
  booktitle = {Proceedings of the ICLR 2024 Tiny Papers track},
  year      = {2024}
}

Model download & WER results

Model#parasCMV–ViVIVOSVLSP 2020 Task-1VLSP 2020 Task-2
vinai/PhoWhisper-tiny39M19.0510.4120.7449.85
vinai/PhoWhisper-base74M16.198.4619.7043.01
vinai/PhoWhisper-small244M11.086.3315.9332.96
vinai/PhoWhisper-medium769M8.274.9714.1226.85
vinai/PhoWhisper-large1.55B8.144.6713.7526.68

Run the model

Example usage with transformers

from transformers import pipeline
transcriber = pipeline("automatic-speech-recognition", model="vinai/PhoWhisper-small")
output = transcriber(path_to_audio_with_sampling_rate_16kHz)['text']

Significant stargazers