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Active speaker detection with audio-visual co-training

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

© 2016 ACM. In this work, we show how to co-Train a classifier for active speaker detection using audio-visual data. First, audio Voice Activity Detection (VAD) is used to train a personalized video-based active speaker classifier in a weakly supervised fashion. The video classifier is in turn used to train a voice model for each person. The individual voice models are then used to detect active speakers. There is no manual supervision -Audio weakly supervises video classification, and the co-Training loop is completed by using the trained video classifier to supervise the training of a personalized audio voice classifier.
Boek: Proceedings ICMI 2016
Pagina's: 312 - 316
ISBN:9781450345569
Jaar van publicatie:2016
BOF-keylabel:ja
IOF-keylabel:ja
Authors from:Higher Education
Toegankelijkheid:Open