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value: 2.8
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# Model Card
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- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
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- **Finetuned dataset:** `headset_microphone` audio of the `speech_clean` subset of [Cnam-LMSSC/vibravox](https://huggingface.co/datasets/Cnam-LMSSC/vibravox)
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- **Samplerate for usage:** 16kHz
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65302a613ecbe51d6a6ddcec/zhB1fh-c0pjlj-Tr4Vpmr.png" />
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</p>
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## Output
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As this model is specifically trained for a speech-to-phoneme task, the output is sequence of [IPA-encoded](https://en.wikipedia.org/wiki/International_Phonetic_Alphabet) words, without punctuation.
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value: 2.8
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---
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65302a613ecbe51d6a6ddcec/zhB1fh-c0pjlj-Tr4Vpmr.png" style="object-fit:contain; width:280px; height:280px;" >
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</p>
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# Model Card
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- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
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- **Finetuned dataset:** `headset_microphone` audio of the `speech_clean` subset of [Cnam-LMSSC/vibravox](https://huggingface.co/datasets/Cnam-LMSSC/vibravox)
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- **Samplerate for usage:** 16kHz
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## Output
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As this model is specifically trained for a speech-to-phoneme task, the output is sequence of [IPA-encoded](https://en.wikipedia.org/wiki/International_Phonetic_Alphabet) words, without punctuation.
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