42 citations · 119 across the 12 of their papers we have counts for
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2016★ 12 cited
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
Lars Hertel, Huy Phan, Alfred Mertins
We trained a deep all-convolutional neural network with masked global pooling to perform single-label classification for acoustic scene classification and multi-label classificatio…
cs.NE2016
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks
Huy Phan, Lars Hertel, Marco Maass +1
We present in this paper a simple, yet efficient convolutional neural network (CNN) architecture for robust audio event recognition. Opposing to deep CNN architectures with multipl…
cs.NE2016
Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning
Lars Hertel, Huy Phan, Alfred Mertins
Recognizing acoustic events is an intricate problem for a machine and an emerging field of research. Deep neural networks achieve convincing results and are currently the state-of-…