Thu PM1.L1.1
ON USING PRE-TRAINED EMBEDDINGS FOR DETECTING ANOMALOUS SOUNDS WITH LIMITED TRAINING DATA
Kevin Wilkinghoff, Fabian Fritz, Fraunhofer FKIE, Germany
Session:
Thu PM1.L1: Acoustic Anomalous Event Detection Lecture
Track:
ASMSP - Acoustic, Speech and Music Signal Processing
Location:
EUROPAEA
Presentation Time:
Thu, 7 Sep, 14:00 - 14:20 Finland Time (UTC +3)
Session Chair:
Tuomas Virtanen, Tampere University
Presentation
Discussion
Resources
No resources available.
Session Thu PM1.L1
Thu PM1.L1.1: ON USING PRE-TRAINED EMBEDDINGS FOR DETECTING ANOMALOUS SOUNDS WITH LIMITED TRAINING DATA
Kevin Wilkinghoff, Fabian Fritz, Fraunhofer FKIE, Germany
Thu PM1.L1.2: FIRST-SHOT ANOMALY SOUND DETECTION FOR MACHINE CONDITION MONITORING: A DOMAIN GENERALIZATION BASELINE
Noboru Harada, Daisuke Niizumi, Yasunori Ohishi, Daiki Takeuchi, Masahiro Yasuda, Nippon Telegraph and Telephone Corporation, Japan
Thu PM1.L1.3: NOVEL GENERATIVE CLASSIFIER FOR ACOUSTIC EVENTS
Paul M. Baggenstoss, Kevin Wilkinghoff, Fraunhofer FKIE, Germany
Thu PM1.L1.4: Data-driven Non-uniform Filterbanks Based on F-ratio for Machine Anomalous Sound Detection
Kai Li, Dung Kim Tran, Japan Advanced Institute of Science and Technology, Japan; Xugang Lu, National Institute of Information and Communications Technology, Japan; Masato Akagi, Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan
Thu PM1.L1.5: DEEP LEARNING MODELS FOR GUNSHOT DETECTION IN THE ALBUFERA NATURAL PARK
Natalia P. García-de-la-Puente, Universitat Politecnica de Valencia, Spain; Félix Fuentes-Hurtado, Universidad Politecnica de Madrid, Spain; Laura Fuster, Valery Naranjo, Gema Piñero, Universitat Politecnica de Valencia, Spain