Automatic Speech Recognition
NeMo
Thai
English
speech
streaming
Thai
FastConformer
Transducer
NeMo
Nemotron
Instructions to use iapp/OpenThai2.0-ASR-Streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use iapp/OpenThai2.0-ASR-Streaming with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("iapp/OpenThai2.0-ASR-Streaming") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Brand wording: Developed by iApp, launched with AIEAT; OpenThai (formerly OpenThaiGPT)
Browse files
README.md
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# OpenThai2.0-ASR-Streaming
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Streaming Thai speech-to-text with 0.64B parameters. It writes Thai speech down while people are still talking, 80 to 1120 ms behind the voice, from one model with four latency settings. It is a Thai fine-tune of NVIDIA **Nemotron 3.5 ASR Streaming 0.6B**
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**Built on NVIDIA Nemotron.** The base model is NVIDIA's [`nvidia/nemotron-3.5-asr-streaming-0.6b`](https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b), released under the OpenMDW License Agreement, version 1.1. That licence is included as [`LICENSE`](LICENSE), and NVIDIA's original model card and sub-cards are kept unchanged in [`nvidia/`](nvidia/).
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- `serve/chinda_asr.py` adapts the decode loop of NVIDIA NeMo's `speech_to_text_cache_aware_streaming_infer.py` (Apache-2.0).
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- Speaker labels in `serve/` use `nvidia/Nemotron-3-Diarization` (OpenMDW-1.1), which is downloaded from Hugging Face, not redistributed here.
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## Citation
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# OpenThai2.0-ASR-Streaming
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Streaming Thai speech-to-text with 0.64B parameters. It writes Thai speech down while people are still talking, 80 to 1120 ms behind the voice, from one model with four latency settings. It is a Thai fine-tune of NVIDIA **Nemotron 3.5 ASR Streaming 0.6B** and part of OpenThai (formerly OpenThaiGPT). Developed by iApp, launched with AIEAT. It is the model behind iApp's hosted [OpenThai ASR Realtime](https://iapp.co.th/docs/speech/speech-to-text/realtime) service.
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**Built on NVIDIA Nemotron.** The base model is NVIDIA's [`nvidia/nemotron-3.5-asr-streaming-0.6b`](https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b), released under the OpenMDW License Agreement, version 1.1. That licence is included as [`LICENSE`](LICENSE), and NVIDIA's original model card and sub-cards are kept unchanged in [`nvidia/`](nvidia/).
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- `serve/chinda_asr.py` adapts the decode loop of NVIDIA NeMo's `speech_to_text_cache_aware_streaming_infer.py` (Apache-2.0).
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- Speaker labels in `serve/` use `nvidia/Nemotron-3-Diarization` (OpenMDW-1.1), which is downloaded from Hugging Face, not redistributed here.
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Developed by iApp, launched with AIEAT. Trained and evaluated on NVIDIA H100 GPUs provided by Siam AI Corporation.
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## Citation
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