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datasets:
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- techiaith/banc-trawsgrifiadau-bangor
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- techiaith/commonvoice_18_0_cy
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language:
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- cy
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pipeline_tag: automatic-speech-recognition
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---
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# whisper-large-v3-ft-
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This model is a version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) finedtuned with
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transcriptions of Welsh language spontaneous speech
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As such this model is suitable for more verbatim transcribing of spontaneous or unplanned speech.
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- WER:
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- CER:
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## Usage
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datasets:
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- techiaith/banc-trawsgrifiadau-bangor
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- techiaith/commonvoice_18_0_cy
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- techiaith/commonvoice_vad_cy
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- cymen-arfor/lleisiau-arfor
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language:
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- cy
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- en
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pipeline_tag: automatic-speech-recognition
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---
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# whisper-large-v3-ft-verbatim-cy-en
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This model is a version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) finedtuned with
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transcriptions of Welsh language spontaneous speech from
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[Banc Trawsgrifiadau Bangor (btb)](https://huggingface.co/datasets/techiaith/banc-trawsgrifiadau-bangor) and
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[Lleisiau Arfor](https://huggingface.co/datasets/cymen-arfor/lleisiau-arfor) as well as recordings of read speech
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from [Welsh Common Voice version 18 (cv)](https://huggingface.co/datasets/techiaith/commonvoice_18_0_cy) and
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[Welsh Common Voice Vad Segments](https://huggingface.co/datasets/techiaith/commonvoice_vad_cy) for additional training.
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As such this model is suitable for more verbatim transcribing of spontaneous or unplanned speech. It achieves the
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following results on the [Banc Trawsgrifiadau Bangor'r test set](https://huggingface.co/datasets/techiaith/banc-trawsgrifiadau-bangor/viewer/default/test)
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- WER: 28.99
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- CER: 10.27
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## Usage
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