Yohei Kawaguchi
4 papers in the PaperMetrix corpus
Papers by this author
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Anomalous Sound Detection Based on Interpolation Deep Neural Network
2020
As the labor force decreases, the demand for labor-saving automatic anomalous sound detection technology that conducts maintenance of industrial equipment has grown. Conventional approaches detect anomalies based on the reconstruction errors of an autoencoder. However, …
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Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection
2021
To develop a machine sound monitoring system, a method for detecting anomalous sound is proposed. Exact likelihood estimation using Normalizing Flows is a promising technique for unsupervised anomaly detection, but it can fail at out-of-distribution …
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Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors
2022 · arXiv (Cornell University)
A method to perform offline and online speaker diarization for an unlimited number of speakers is described in this paper. End-to-end neural diarization (EEND) has achieved overlap-aware speaker diarization by formulating it as a multi-label …
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Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection
2022 · arXiv (Cornell University)
This paper aims to develop an acoustic signal-based unsupervised anomaly detection method for automatic machine monitoring. Existing approaches such as deep autoencoder (DAE), variational autoencoder (VAE), conditional variational autoencoder (CVAE) etc. have limited representation capabilities …