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Scripts used in Lehnhoff et al., 2022.
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This repository offers Convolutional Neural Networks (CNN) architectures along with pre-trained weights for the detection of acoustic signals from several cetacean species.
A python interface is also available in order to use them on your own data.
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This project contains the public version of the CALOR-DIAL corpus
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ARMILU format of the MultiWOZ2.3 corpus
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DECODA corpus - distribution of speech transcriptions and annotations of human-human dialogues collected through the ANR DECODA project
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ARMILU (Abstract Representation for Multi-Intent spoken Language Understanding) format of the MultiWOZ2.3 corpus
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Bundled code for experiments reproducibility
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Extended Label Image Annotation Tool called Labelimge "labelImg.py" with variant cross-platforms required at least Python 3.6, opencv, and has been tested with PyQt 4.8, additionally achieves the object Detection & Multi-Tracking.
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Pytorch implementation of a CNN detector trained on the Actoustic Trends Blue Fin library dataset
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Convolutionnal neural networks for humpback whale vocalisations and delphinid whistles
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this is MORSTS with some data for demo
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DTOM with some data for test
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This this ISTM, with some data for demo
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webpage CANA team, LIS.
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