4 papers · 1 filter
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…
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…
Emotional Text-To-Speech Based on Mutual-Information-Guided Emotion-Timbre Disentanglement
Jianing Yang, Sheng Li, Takahiro Shinozaki +2
Current emotional Text-To-Speech (TTS) and style transfer methods rely on reference encoders to control global style or emotion vectors, but do not capture nuanced acoustic details…
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…