An Unsupervised Deep Learning System for Acoustic Scene Analysis
Acoustic scene analysis has attracted a lot of attention recently. Existing methods are mostly supervised, which requires well-predefined acoustic scene categories and accurate labels. In practice, there exists a large amount of unlabeled audio data, but labeling large-scale data is not only costly...
Main Authors: | Mou Wang, Xiao-Lei Zhang, Susanto Rahardja |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/6/2076 |
Similar Items
-
A Review of Deep Learning Based Methods for Acoustic Scene Classification
by: Jakob Abeßer
Published: (2020-03-01) -
Unsupervised learning: application to epilepsy
by: Gabriel Mauricio Martínez-Toro, et al.
Published: (2019-10-01) -
Capturing Discriminative Information Using a Deep Architecture in Acoustic Scene Classification
by: Hye-jin Shim, et al.
Published: (2021-09-01) -
Knowledge Distillation in Acoustic Scene Classification
by: Jee-Weon Jung, et al.
Published: (2020-01-01) -
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation
by: Zhiqiang Gong, et al.
Published: (2019-01-01)