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  **Monsoon-Whisper-Medium-GigaSpeech2** is a 🇹🇭 Thai *Automatic Speech Recognition* (ASR) model. It is based on [Whisper-Medium](https://huggingface.co/openai/whisper-medium) and fine-tuned on [GigaSpeech2](https://huggingface.co/datasets/speechcolab/gigaspeech2).
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- Originally developed as a scale experiment for research on emergent capabilities in ASR tasks, it performs well in real-world speech to text scenarios, such as audio sourced from YouTube and noisy environments.
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- More details can be found in our [release blog](https://blog.opentyphoon.ai/typhoon-audio-preview-release-6fbb3f938287).
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  ## Model Description
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  ## Evaluation Results
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- | Model | WER (GS2) | WER (CV) | CER (GS2) | CER (CV) |
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  |:----------------------------------------|:----------------------:|:-------------------------:|:----------------------:|:-------------------------:|
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  | whisper-large-v3 | 37.02 | 22.63 | 24.03 | 8.49 |
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  | whisper-medium | 55.64 | 43.01 | 37.55 | 16.41 |
 
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  **Monsoon-Whisper-Medium-GigaSpeech2** is a 🇹🇭 Thai *Automatic Speech Recognition* (ASR) model. It is based on [Whisper-Medium](https://huggingface.co/openai/whisper-medium) and fine-tuned on [GigaSpeech2](https://huggingface.co/datasets/speechcolab/gigaspeech2).
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+ Originally developed as a scale experiment for research on emergent capabilities in ASR tasks. It performs well in the wild, including with audio sourced from YouTube and in noisy environments.
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+ More details can be found in our [Typhoon-Audio Release Blog](https://blog.opentyphoon.ai/typhoon-audio-preview-release-6fbb3f938287).
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  ## Model Description
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  ## Evaluation Results
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+ | Model | WER (GS2) | WER (CV17) | CER (GS2) | CER (CV17) |
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  |:----------------------------------------|:----------------------:|:-------------------------:|:----------------------:|:-------------------------:|
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  | whisper-large-v3 | 37.02 | 22.63 | 24.03 | 8.49 |
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  | whisper-medium | 55.64 | 43.01 | 37.55 | 16.41 |