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README.md
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This model is primarily designed for transcribing Tagalog, Bisaya, Ilocano, Waray, Kapampangan, Pangasinense, and Bikol voice notes and performing batch automatic speech recognition (ASR) for the same languages. It is also suitable for fine-tuning or domain adaptation for these specific speech tasks.
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The model has several key limitations:
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* It performs poorly in
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* Accuracy is significantly reduced for
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* It is
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* Like other Whisper-type models, it can produce
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## Training and evaluation data
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This model is primarily designed for transcribing Tagalog, Bisaya, Ilocano, Waray, Kapampangan, Pangasinense, and Bikol voice notes and performing batch automatic speech recognition (ASR) for the same languages. It is also suitable for fine-tuning or domain adaptation for these specific speech tasks.
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The model has several key limitations:
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* It performs poorly in noisy or multi-speaker environments, leading to transcription errors.
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* Accuracy is significantly reduced for noisy, accented, or dialectal speech.
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* It is not optimized for real-time streaming.
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* Like other Whisper-type models, it can produce plausible but incorrect words (hallucinations).
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## Training and evaluation data
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