Automatic Speech Recognition
Transformers
Safetensors
Dutch
whisper
dutch
speech
audio
synthetic-data
asr
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use yuriyvnv/whisper-small-mixed-cv-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/whisper-small-mixed-cv-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuriyvnv/whisper-small-mixed-cv-nl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("yuriyvnv/whisper-small-mixed-cv-nl") model = AutoModelForSpeechSeq2Seq.from_pretrained("yuriyvnv/whisper-small-mixed-cv-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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year={2024},
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publisher={IEEE}
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## References
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year={2024},
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publisher={IEEE}
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}
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@article{perezhohin2026wave,
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title={WAVe: Word-aligned verification of synthetic speech for ASR},
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author={Perezhohin, Yuriy and Castelli, Mauro},
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journal={Information Sciences},
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pages={123591},
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year={2026},
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publisher={Elsevier}
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}
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```
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## References
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