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cs.SD2026
MemNMF: Memory-Augmented NMF on LPC Spectra for Anomalous Sound Detection
Phurich Saengthong, Takahiro Shinozaki
Autoencoder-based anomalous sound detection is attractive for machine condition monitoring because it can be trained using only normal recordings and yields an interpretable anomal…
cs.SD2026
Sub-Band Spectral Matching with Localized Score Aggregation for Robust Anomalous Sound Detection
Phurich Saengthong, Takahiro Shinozaki
Detecting subtle deviations in noisy acoustic environments is central to anomalous sound detection (ASD). A common training-free ASD pipeline temporally pools frame-level represent…
cs.SD2024
Deep Generic Representations for Domain-Generalized Anomalous Sound Detection
Phurich Saengthong, Takahiro Shinozaki
Developing a reliable anomalous sound detection (ASD) system requires robustness to noise, adaptation to domain shifts, and effective performance with limited training data. Curren…