SEMIPL: A Semi-Supervised Method for Event Sound Source Localization
Author:
Affiliation:
1. School of Intelligent Systems Engineering, Sun Yat-sen University
2. Peking University, Shenzhen Graduate School,National Key Laboratory of General Artificial Intelligence
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10645349/10645352/10645397.pdf?arnumber=10645397
Reference21 articles.
1. What in the World Do We Hear?: An Ecological Approach to Auditory Event Perception
2. Enhancement of visual perception by crossmodal visuo-auditory interaction
3. Audio vision: Using audio-visual synchrony to locate sounds;Hershey;Advances in neural information processing systems,1999
4. A survey on semi-supervised learning
5. Learning to Localize Sound Source in Visual Scenes
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