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Christian Kroos

2 accepted papers

2019

Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection

ICASSP 2019accepted

In this paper, we address the problem of bird audio detection and propose a new convolutional neural network architecture together with a divergence based information channel weighing strategy in order to achieve improved state-of-the-art performance and faster convergence. The effectiveness of the…

Cited by 0SourceScholar
2019

Generalisation in Environmental Sound Classification: The 'Making Sense of Sounds' Data Set and Challenge

ICASSP 2019accepted

Humans are able to identify a large number of environmental sounds and categorise them according to high-level semantic categories, e.g. urban sounds or music. They are also capable of generalising from past experience to new sounds when applying these categories. In this paper we report on the crea…

Cited by 0SourceScholar