Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma.
Yuma KoizumiShoichiro SaitoHisashi UematsuYuta KawachiNoboru HaradaPublished in: IEEE ACM Trans. Audio Speech Lang. Process. (2019)
Keyphrases
- deep learning
- neyman pearson
- unsupervised learning
- deep architectures
- anomaly detection
- weakly supervised
- unsupervised feature learning
- restricted boltzmann machine
- machine learning
- neural network
- deep belief networks
- support vector machine
- object detection
- mental models
- semi supervised
- supervised learning
- type ii
- text classification
- multi class
- image processing