An approach for self-training audio event detectors using web data

• Main Authors: ELIZALDE, Benjamin, SHAH, Ankit, DALMIA, Siddharth, LEE, Min Hun, BADLANI, Rohan, KUMAR, Anurag, RAJ, Bhiksha, LANE, Ian
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/6691
• Institution: Singapore Management University

Audio Event Detection (AED) aims to recognize sounds within audio and video recordings. AED employs machine learning algorithms commonly trained and tested on annotated datasets. However, available datasets are limited in number of samples and hence it is difficult to model acoustic diversity. There...