AASP-L4.6
BRINGING THE DISCUSSION OF MINIMA SHARPNESS TO THE AUDIO DOMAIN: A FILTER-NORMALISED EVALUATION FOR ACOUSTIC SCENE CLASSIFICATION
Manuel Milling, Andreas Triantafyllopoulos, CHI – Chair of Health Informatics, MRI, Technical University of Munich, Germany; Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany; Iosif Tsangko, Simon David Noel Rampp, Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany; Björn Wolfgang Schuller, CHI – Chair of Health Informatics, MRI, Technical University of Munich, Germany; Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg; GLAM – Group on Language, Audio, & Music, Imperial College London, Germany
Session:
AASP-L4: Audio Classification, Detection and Localization Lecture
Track:
Audio and Acoustic Signal Processing
Location:
Room 101
Presentation Time:
Wed, 17 Apr, 10:00 - 10:20 (UTC +9)
Session Co-Chairs:
Yohei Kawaguchi, Hitachi, Ltd. and Gordon Wichern, Mitsubishi Electric Research Laboratories
Session AASP-L4
AASP-L4.1: LEARNING FROM TAXONOMY: MULTI-LABEL FEW-SHOT CLASSIFICATION FOR EVERYDAY SOUND RECOGNITION
Jinhua Liang, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland; Huy Phan, Amazon Alexa, United Kingdom of Great Britain and Northern Ireland; Emmanouil Benetos, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland
AASP-L4.2: CROSS-TRIGGERING ISSUE IN AUDIO EVENT DETECTION AND MITIGATION
Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang, Amazon, United States of America
AASP-L4.3: 6DOF SELD: SOUND EVENT LOCALIZATION AND DETECTION USING MICROPHONES AND MOTION TRACKING SENSORS ON SELF-MOTIONING HUMAN
Masahiro Yasuda, Shoichiro Saito, Akira Nakayama, Noboru Harada, NTT Corporation, Japan
AASP-L4.4: ANOMALOUS SOUND DETECTION BY FEATURE-LEVEL ANOMALY SIMULATION
Vitjan Zavrtanik, Matija Marolt, Matej Kristan, Danijel Skočaj, Faculty of Computer and Information Science, University of Ljubljana, Slovenia
AASP-L4.5: F1-EV SCORE: MEASURING THE LIKELIHOOD OF ESTIMATING A GOOD DECISION THRESHOLD FOR SEMI-SUPERVISED ANOMALY DETECTION
Kevin Wilkinghoff, Fraunhofer FKIE, Germany; Keisuke Imoto, Doshisha University, Japan
AASP-L4.6: BRINGING THE DISCUSSION OF MINIMA SHARPNESS TO THE AUDIO DOMAIN: A FILTER-NORMALISED EVALUATION FOR ACOUSTIC SCENE CLASSIFICATION
Manuel Milling, Andreas Triantafyllopoulos, CHI – Chair of Health Informatics, MRI, Technical University of Munich, Germany; Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany; Iosif Tsangko, Simon David Noel Rampp, Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany; Björn Wolfgang Schuller, CHI – Chair of Health Informatics, MRI, Technical University of Munich, Germany; Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg; GLAM – Group on Language, Audio, & Music, Imperial College London, Germany
Contacts