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| [](#model-architecture)
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| [](#datasets)
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Typhoon ASR
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The model is based on [NVIDIA's FastConformer Transducer model](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#fast-conformer), which is optimized for low-latency, real-time performance.
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| [](#model-architecture)
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| [](#datasets)
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Typhoon ASR Realtime is a next-generation, open-source Automatic Speech Recognition (ASR) model built specifically for real-world streaming applications in the Thai language. It is designed to deliver fast and accurate transcriptions while running efficiently on standard CPUs. This enables users to host their own ASR service without requiring expensive, specialized hardware or relying on third-party cloud services for sensitive data.
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The model is based on [NVIDIA's FastConformer Transducer model](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#fast-conformer), which is optimized for low-latency, real-time performance.
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