A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks.
Erik MarchiFabio VesperiniFlorian EybenStefano SquartiniBjörn W. SchullerPublished in: ICASSP (2015)
Keyphrases
- novelty detection
- denoising
- neural network
- recurrent neural networks
- text filtering
- anomaly detection
- image denoising
- pattern recognition
- concept drift
- denoising methods
- total variation
- feed forward
- artificial neural networks
- image processing
- back propagation
- natural language processing
- multi layer perceptron
- feedforward neural networks
- sentence level
- learning algorithm