Add vibravox paper on arXiV
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README.md
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All models are trained using [Configurable EBEN](https://github.com/jhauret/vibravox/blob/main/vibravox/torch_modules/dnn/eben_generator.py) (see [publication in IEEE TASLP](https://ieeexplore.ieee.org/document/10244161) - [arXiv link](https://arxiv.org/abs/2303.10008)) and adapted to different sensor inputs. They are intended to be used at a sample rate of 16kHz.
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## Training Procedure
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Detailed instructions for reproducing the experiments are available on the [jhauret/vibravox](https://github.com/jhauret/vibravox) Github repository.
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## Available Models
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All models are trained using [Configurable EBEN](https://github.com/jhauret/vibravox/blob/main/vibravox/torch_modules/dnn/eben_generator.py) (see [publication in IEEE TASLP](https://ieeexplore.ieee.org/document/10244161) - [arXiv link](https://arxiv.org/abs/2303.10008)) and adapted to different sensor inputs. They are intended to be used at a sample rate of 16kHz.
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## Training Procedure
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Detailed instructions for reproducing the experiments are available on the [jhauret/vibravox](https://github.com/jhauret/vibravox) Github repository and in the [VibraVox paper on arXiV](https://arxiv.org/abs/2407.11828).
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## Available Models
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