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Phongtharin Vinayavekhin

2 accepted papers

2021

Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization

ICASSP 2021accepted

Deep neural networks have recently led to promising results for the task of multiple sound source localization. Yet, they require a lot of training data to cover a variety of acoustic conditions and micro-phone array layouts. One can leverage acoustic simulators to inexpensively generate labeled tra…

Cited by 0SourceScholar
2019

Unifying Heterogeneous Classifiers With Distillation

CVPR 2019poster

In this paper, we study the problem of unifying knowledge from a set of classifiers with different architectures and target classes into a single classifier, given only a generic set of unlabelled data. We call this problem Unifying Heterogeneous Classifiers (UHC). This problem is motivated by scena…

Cited by 75PDFScholar