|
--- |
|
library_name: transformers |
|
pipeline_tag: automatic-speech-recognition |
|
license: apache-2.0 |
|
language: |
|
- vi |
|
--- |
|
Converted to Flax from [vinai/PhoWhisper-tiny](https://huggingface.co/vinai/PhoWhisper-tiny) for light-speed inference on TPU |
|
```py |
|
from whisper_jax import FlaxWhisperPipline |
|
import jax.numpy as jnp |
|
pipeline = FlaxWhisperPipline("hr16/PhoWhisper-tiny-flax", dtype=jnp.bfloat16, batch_size=16) |
|
``` |
|
|
|
# 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](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: |
|
|
|
``` |
|
@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} |
|
} |
|
``` |
|
|
|
For further information or requests, please go to [PhoWhisper's homepage](https://github.com/VinAIResearch/PhoWhisper)! |
