Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio.
Gabriel CoelhoLuís Miguel MatosPedro José PereiraAndré L. FerreiraAndré Luiz PilastriPaulo CortezPublished in: Neural Comput. Appl. (2022)
Keyphrases
- anomaly detection
- intrusion detection
- acoustic features
- audio signal
- denoising
- detecting anomalies
- one class support vector machines
- network intrusion detection
- anomalous behavior
- computer security
- unsupervised anomaly detection
- network traffic
- detecting anomalous
- intrusion detection system
- unsupervised learning
- detect anomalies
- network anomaly detection
- deep belief networks
- behavior analysis
- pairwise
- negative selection algorithm
- data mining
- data sets
- semi supervised
- network intrusion
- machine learning
- connectionist systems