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## Overview
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This master model card serves as an entry point for exploring multiple **audio bandwidth extension** (BWE) models trained on different sensor data from the [Vibravox dataset](https://huggingface.co/datasets/Cnam-LMSSC/vibravox).
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These models are designed to to enhance the audio quality of body-conducted captured speech, by denoising and regenerating mid and high frequencies from low frequency content only.
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## Overview
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This master model card serves as an entry point for exploring [multiple **audio bandwidth extension** (BWE) models](https://huggingface.co/Cnam-LMSSC/vibravox_EBEN_models#available-models) trained on different sensor data from the [Vibravox dataset](https://huggingface.co/datasets/Cnam-LMSSC/vibravox).
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These models are designed to to enhance the audio quality of body-conducted captured speech, by denoising and regenerating mid and high frequencies from low frequency content only.
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