Data-driven Non-uniform Filterbanks Based on F-ratio for Machine Anomalous Sound Detection

Anomalous sound detection (ASD) aims to detect unknown anomalous sounds emitted from a target machine. Most advanced ASD systems use a complicated neural-network- based detector with the log Mel spectrum as input. However, different types of machines have different vibration frequency regions depend...

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Vydané v:	2023 31st European Signal Processing Conference (EUSIPCO) s. 201 - 205
Hlavní autori:	Li, Kai, Tran, Dung Kim, Lu, Xugang, Akagi, Masato, Unoki, Masashi
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	EURASIP 04.09.2023
Predmet:	Anomalous sound detection data-driven non-uniform filterbank Detectors F-ratio Feature extraction Filter banks frequencies importance Harmonic analysis Information filters log non-uniform spectrum Signal processing Vibrations
ISSN:	2076-1465
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