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Acoustic Novelty Detection
3260 papers • 126 benchmarks • 313 datasets
Detect novel events given acoustic signals, either in domestic or outdoor environments.
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A3Lab PASCAL CHiME
A3Lab PASCAL CHiME
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Most implemented papers
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection
Duong Nguyen, O. Kirsebom, F. Frazão, R. Fablet, S. Matwin•Tue Feb 12 2019
This model is robust, highly unsupervised, end-to-end and requires minimum preprocessing, feature engineering or hyperparameter tuning and outperforms the state-of-the-art acoustic novelty detectors.
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