Clustering by Errors: A Self-Organized Multitask Learning Method for Acoustic Scene Classification

Clustering by Errors: A Self-Organized Multitask Learning Method for Acoustic Scene Classification

Acoustic scene classification (ASC) tries to inference information about the environment using audio segments. The inter-class similarity is a significant issue in ASC as acoustic scenes with different labels may sound quite similar. In this paper, the similarity relations amongst scenes are correla...

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Bibliographic Details
Main Authors: Weiping Zheng, Zhenyao Mo, Gansen Zhao
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
acoustic scene classification
convolutional neural network
acoustic scene clustering
multitask learning
late fusion
Online Access:https://www.mdpi.com/1424-8220/22/1/36

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