[test] init

.gitignore

@@ -1,2 +0,0 @@
-push_hf.py
-pytorch_model.pt

README.md

@@ -67,26 +67,28 @@ model-index:
 
 # **ChunkFormer-Large-Vie: Large-Scale Pretrained ChunkFormer for Vietnamese Automatic Speech Recognition**
 [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/)
-[![Hugging Face](https://img.shields.io/badge/HuggingFace-ChunkFormer-orange)](https://huggingface.co/your-username/chunkformer)
+[![GitHub](https://img.shields.io/badge/GitHub-ChunkFormer-blue)](https://github.com/khanld/chunkformer)
 [![Paper](https://img.shields.io/badge/Paper-ICASSP%202025-green)](https://your-paper-link)
 
-<!-- ### Table of contents
+### Table of contents
 1. [Model Description](#description)
-2. [Implementation](#implementation)
-3. [Benchmark Result](#benchmark)
-4. [Example Usage](#example)
-5. [Evaluation](#evaluation)
+2. [Documentation and Implementation](#implementation)
+3. [Benchmark Results](#benchmark)
+4. [Usage](#usage)
 6. [Citation](#citation)
-7. [Contact](#contact) -->
+7. [Contact](#contact)
+---
 
 <a name = "description" ></a>
-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.
+### 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.
+
 <a name = "implementation" ></a>
 ### Documentation and Implementation
-We provide the documentation and implementation of ChunkFormer, check it out [HERE]().
+The [documentation](#) and [implementation](#) of ChunkFormer are publicly available.
 
 <a name = "benchmark" ></a>
-### Benchmark WER Result
+### Benchmark Results
 | STT | Model        | Vios | Common Voice | VLSP - Task 1 | Avg. |
 |-----|--------------|------|--------------|---------------|------|
 | 1   | ChunkFormer  | x    | x            | x             | x    |
@@ -94,6 +96,9 @@ We provide the documentation and implementation of ChunkFormer, check it out [HE
 | 3   | X            | x    | x            | x             | x    |
 | 4   | Y            | x    | x            | x             | x    |
 
+---
+
+
 <a name = "usage" ></a>
 ### Usage
 
@@ -125,4 +130,27 @@ python decode.py \
     --right_context_size 128
 ```
 
+---
+
+<a name = "citation" ></a>
+### 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}
+}
+```
+
+<a name = "contact"></a>
+### Contact
+- [email protected]
+- [![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/)
+- [![LinkedIn](https://img.shields.io/badge/linkedin-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/khanhld257/)
+
+
+