Exploring superframe co-occurrence for acoustic event recognition

H. Phan, A. Mertins


We introduce in this paper a concept of using acoustic superframes, a mid-level representation which can overcome the drawbacks of both global and simple frame-level representations for acoustic events. Through superframe-level recognition, we explore the phenomenon of superframe co-occurrence across different event categories and propose an efficient classification scheme that takes advantage of this feature sharing to improve the event-wise recognition power. We empirically show that our recognition system results in 2.7% classification error rate on the ITC-Irst database. This state-of-the-art performance demonstrates the efficiency of this proposed approach. Furthermore, we argue that this presentation can pretty much facilitate the event detection task compared to its counterparts, e.g. global and simple frame-level representations.
Original languageEnglish
Title of host publication2014 22nd European Signal Processing Conference (EUSIPCO)
Number of pages5
Publication date01.09.2014
Article number6952185
ISBN (Electronic)978-0-9928-6261-9
Publication statusPublished - 01.09.2014
Event22nd European Signal Processing Conference - Lisbon, Portugal
Duration: 01.09.201405.09.2014
Conference number: 109162


Dive into the research topics of 'Exploring superframe co-occurrence for acoustic event recognition'. Together they form a unique fingerprint.

Cite this