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@@ -28,7 +28,7 @@ Each of these models has been trained for **specific non-conventional speech sen
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  Please be advised that using these models outside their intended sensor data may result in suboptimal performance.
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  ## Usage
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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](https://ieeexplore.ieee.org/document/10244161)) 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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  Please be advised that using these models outside their intended sensor data may result in suboptimal performance.
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  ## Usage
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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.