Anomalous Sound Detection for Industrial Machines Using Acoustical Features Related to Timbral Metrics

This paper proposes an anomalous sound detection (ASD) method that uses a combination of timbral metrics and short-term features tailored to industrial machine faults to identify whether the sound emitted from a target machine is anomalous. The timbral-feature-based ASD (TF-ASD) method involves usin...

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Bibliographic Details
Main Authors: Yasuji Ota, Masashi Unoki
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10177950/