Add pipeline_tag, library_name and link to paper
#1
by nielsr HF Staff - opened
README.md
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---
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language:
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- sk
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tags:
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- speech
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- asr
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- parliament
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- legal
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- politics
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base_model: openai/whisper-medium
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datasets:
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- erikbozik/slovak-plenary-asr-corpus
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metrics:
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- wer
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model-index:
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- name: whisper-medium-sk
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results:
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name: Common Voice 21 (Slovak test set)
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type: common_voice
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metrics:
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type: wer
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value: 18
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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name: FLEURS (Slovak test set)
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type: fleurs
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metrics:
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-
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type: wer
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value: 7.6
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---
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# Whisper Medium — Fine-tuned on SloPalSpeech
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This model is a fine-tuned version of [`openai/whisper-medium`](https://huggingface.co/openai/whisper-medium).
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It is adapted for **Slovak ASR** using [SloPalSpeech](https://huggingface.co/datasets/erikbozik/slovak-plenary-asr-corpus): **2,806 hours** of aligned, ≤30 s speech–text pairs from official plenary sessions of the **Slovak National Council**.
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- **Language:** Slovak
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- Multilingual performance is not guaranteed (full-parameter finetuning emphasized Slovak).
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## 📝 Citation & Paper
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For more details, please see our paper on [arXiv](https://arxiv.org/abs/2509.19270). If you use this model in your work, please cite it as:
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```bibtex
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@misc{božík2025slopalspeech2800hourslovakspeech,
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title={SloPalSpeech: A 2,800-Hour Slovak Speech Corpus from Parliamentary Data},
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---
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base_model: openai/whisper-medium
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datasets:
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- erikbozik/slovak-plenary-asr-corpus
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language:
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- sk
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license: mit
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metrics:
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- wer
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library_name: transformers
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pipeline_tag: automatic-speech-recognition
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tags:
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- speech
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- asr
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- parliament
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- legal
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- politics
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model-index:
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- name: whisper-medium-sk
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results:
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name: Common Voice 21 (Slovak test set)
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type: common_voice
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metrics:
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- type: wer
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value: 18
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name: WER
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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name: FLEURS (Slovak test set)
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type: fleurs
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metrics:
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- type: wer
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value: 7.6
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name: WER
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---
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# Whisper Medium — Fine-tuned on SloPalSpeech
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This model is a fine-tuned version of [`openai/whisper-medium`](https://huggingface.co/openai/whisper-medium), presented in the paper [SloPal: A 60-Million-Word Slovak Parliamentary Corpus with Aligned Speech and Fine-Tuned ASR Models](https://huggingface.co/papers/2509.19270).
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It is adapted for **Slovak ASR** using [SloPalSpeech](https://huggingface.co/datasets/erikbozik/slovak-plenary-asr-corpus): **2,806 hours** of aligned, ≤30 s speech–text pairs from official plenary sessions of the **Slovak National Council**.
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- **Language:** Slovak
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- Multilingual performance is not guaranteed (full-parameter finetuning emphasized Slovak).
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## 📝 Citation & Paper
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For more details, please see our paper on [arXiv](https://arxiv.org/abs/2509.19270) or the [Hugging Face paper page](https://huggingface.co/papers/2509.19270). If you use this model in your work, please cite it as:
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```bibtex
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@misc{božík2025slopalspeech2800hourslovakspeech,
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title={SloPalSpeech: A 2,800-Hour Slovak Speech Corpus from Parliamentary Data},
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