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  </style>
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- [![Ranked #1: Speech Recognition on Common Voice Vi](https://img.shields.io/badge/Ranked%20%231%3A%20Speech%20Recognition%20on%20Common%20Voice%20Vi-%F0%9F%8F%86%20SOTA-blueviolet?style=for-the-badge&logo=paperswithcode&logoColor=white)](https://paperswithcode.com/sota/speech-recognition-on-common-voice-vi)
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- [![Ranked #1: Speech Recognition on VIVOS](https://img.shields.io/badge/Ranked%20%231%3A%20Speech%20Recognition%20on%20VIVOS-%F0%9F%8F%86%20SOTA-blueviolet?style=for-the-badge&logo=paperswithcode&logoColor=white)](https://paperswithcode.com/sota/speech-recognition-on-vivos)
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  [![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/)
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  [![GitHub](https://img.shields.io/badge/GitHub-ChunkFormer-blue)](https://github.com/khanld/chunkformer)
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  ## Model Description
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  **ChunkFormer-Large-Vie** is a large-scale Vietnamese Automatic Speech Recognition (ASR) model based on the **ChunkFormer** architecture, introduced at **ICASSP 2025**. The model has been fine-tuned on approximately **3000 hours** of public Vietnamese speech data sourced from diverse datasets. A list of datasets can be found [**HERE**](dataset.tsv).
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- **!!! Please note that only the \[train-subset\] was used for tuning the model.**
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  ---
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  <a name = "implementation" ></a>
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  ## Documentation and Implementation
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- The [Documentation]() and [Implementation](https://github.com/khanld/chunkformer) of ChunkFormer are publicly available.
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  ---
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  <a name = "benchmark" ></a>
 
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  [![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/)
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  [![GitHub](https://img.shields.io/badge/GitHub-ChunkFormer-blue)](https://github.com/khanld/chunkformer)
 
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  ## Model Description
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  **ChunkFormer-Large-Vie** is a large-scale Vietnamese Automatic Speech Recognition (ASR) model based on the **ChunkFormer** architecture, introduced at **ICASSP 2025**. The model has been fine-tuned on approximately **3000 hours** of public Vietnamese speech data sourced from diverse datasets. A list of datasets can be found [**HERE**](dataset.tsv).
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  ---
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  <a name = "implementation" ></a>
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  ## Documentation and Implementation
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+ The [Documentation](https://arxiv.org/abs/2502.14673) and [Implementation](https://github.com/khanld/chunkformer) of ChunkFormer are publicly available.
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  ---
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  <a name = "benchmark" ></a>