Auditory Suspicious Event Databases: DASE and Bi-DASE

Auditory Suspicious Event Databases: DASE and Bi-DASE

The lack of open-access databases for auditory suspicious events' detection and classification algorithms is a hurdle for researchers while evaluating and comparing the performance of suspicious sound event detection and recognition systems. This paper introduces two databases called DASE and b...

Full description

Bibliographic Details
Main Authors: Buket D. Barkana, Nijo John, Inci Saricicek
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Audio databases
acoustic suspicious events
surveillance systems
audio event detection
Online Access:https://ieeexplore.ieee.org/document/8387773/

Internet

https://ieeexplore.ieee.org/document/8387773/

Similar Items