---
language: en
datasets:
- legacy-datasets/common_voice
- vlsp2020_vinai_100h
- AILAB-VNUHCM/vivos
- doof-ferb/vlsp2020_vinai_100h
- doof-ferb/fpt_fosd
- doof-ferb/infore1_25hours
- linhtran92/viet_bud500
- doof-ferb/LSVSC
- doof-ferb/vais1000
- doof-ferb/VietMed_labeled
- NhutP/VSV-1100
- doof-ferb/Speech-MASSIVE_vie
- doof-ferb/BibleMMS_vie
- capleaf/viVoice
metrics:
- wer
pipeline_tag: automatic-speech-recognition
tags:
- transcription
- audio
- speech
- chunkformer
- asr
- automatic-speech-recognition
- long-form
license: cc-by-nc-4.0
model-index:
- name: ChunkFormer Large Vietnamese
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: common-voice-vietnamese
type: common_voice
args: vi
metrics:
- name: Test WER
type: wer
value: x
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: VIVOS
type: vivos
args: vi
metrics:
- name: Test WER
type: wer
value: x
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: VLSP - Task 1
type: vlsp
args: vi
metrics:
- name: Test WER
type: wer
value: x
---
# **ChunkFormer-Large-Vie: Large-Scale Pretrained ChunkFormer for Vietnamese Automatic Speech Recognition**
[](https://creativecommons.org/licenses/by-nc/4.0/)
[](https://github.com/khanld/chunkformer)
[](https://your-paper-link)
### Table of contents
1. [Model Description](#description)
2. [Documentation and Implementation](#implementation)
3. [Benchmark Results](#benchmark)
4. [Usage](#usage)
6. [Citation](#citation)
7. [Contact](#contact)
---
### Model Description
**ChunkFormer-Large-Vie** is a large-scale Vietnamese Automatic Speech Recognition (ASR) model based on the innovative **ChunkFormer** architecture, introduced at **ICASSP 2025**. The model has been fine-tuned on approximately **2000 hours** of Vietnamese speech data sourced from diverse datasets.
### Documentation and Implementation
The [documentation](#) and [implementation](#) of ChunkFormer are publicly available.
### Benchmark Results
| STT | Model | Vios | Common Voice | VLSP - Task 1 | Avg. |
|-----|--------------|------|--------------|---------------|------|
| 1 | ChunkFormer | x | x | x | x |
| 2 | PhoWhisper | x | x | x | x |
| 3 | X | x | x | x | x |
| 4 | Y | x | x | x | x |
---
### Usage
To use the ChunkFormer model for Vietnamese Automatic Speech Recognition, follow these steps:
1. **Download the ChunkFormer Repository**
Clone the ChunkFormer repository to your local machine:
```bash
git clone https://github.com/khanld/chunkformer.git
cd chunkformer
pip install -r requirements.txt
```
2. **Download the Model Checkpoint from Hugging Face**
Download the model checkpoint from Hugging Face using the following git lfs command:
```bash
git lfs install
git clone https://huggingface.co/khanhld/chunkformer-large-vietnamese
```
This will download the model checkpoint to the checkpoints folder inside your chunkformer directory.
3. **Run the model**
Use the following command to transcribe long audio files:
```bash
python decode.py \
--model_checkpoint path/to/chunkformer-large-vietnamese \
--long_form_audio path/to/long_audio.wav \
--chunk_size 64 \
--left_context_size 128 \
--right_context_size 128
```
---
### Citation
If you use this work in your research, please cite:
```bibtex
@inproceedings{your_paper,
title={ChunkFormer: Masked Chunking Conformer For Long-Form Speech Transcription},
author={Khanh Le, Tuan Vu Ho, Dung Tran and Duc Thanh Chau},
booktitle={ICASSP},
year={2025}
}
```
### Contact
- khanhld218@gmail.com
- [](https://github.com/)
- [](https://www.linkedin.com/in/khanhld257/)