5 accepted papers
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 detection since the likelihood is affected by the…
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, when the target machine sound…
To develop a sound-monitoring system for checking machine health, a method for detecting anomalous sounds is proposed. In real environments such as factories, reverberation and background noise are mixed in an observed signal, so detection performance is degraded. It can be expected that detection p…
The paper proposes a spatial sound perception system for an autonomous mobile robot. The system performs three-dimensional position localization and recognition as online processing from a robot in motion. For online processing, the sound positions are estimated as probabilistic regions in three dim…
The paper proposes a system for mapping the 3D location of a sound source using data from a microphone array, each of which gives an independent estimate of the direction. LiDAR is used to generate a 3D map of the environment and to estimate the location of the sensor in six degrees of freedom (6-Do…