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Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection
In the emerging field of acoustic novelty detection, most research efforts are devoted to probabilistic approaches such as mixture models or state-space models. Only recent studies introduced (pseudo-)generative models for acoustic novelty detection with recurrent neural networks in the form of an a...
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| Veröffentlicht in: | Comput Intell Neurosci |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi Publishing Corporation
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5274684/ https://ncbi.nlm.nih.gov/pubmed/28182121 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/4694860 |
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