This work focused on how to improve the generalisation capacity of the deep learning-based system.
The winning system in the ‘Large-scale weakly supervised sound event detection for smart cars’ task of Detection and Classification of Acoustic Scenes and Events (DCASE) 2017 challenge’ will also be covered.
Watch this and previous Tech Talks on the Audio Analytic Labs YouTube channel.
More on Dr Yong Xu:
Dr Yong Xu is a research fellow in University of Surrey, UK. He got his PhD degree from University of Science and Technology of China (USTC) in 2015. He once visited Georgia Institute of Technology, USA from September 2014 to May 2015. After his PhD graduation, he worked for IFLYTEK as a researcher from April 2015 to April 2016. His papers have obtained 630+ citations with two ESI highly cited IEEE journal papers. He won the 1st place in DCASE 2017 challenge for ‘Large-scale weakly supervised sound event detection for smart cars’.