348 citations · 1.2k across the 23 of their papers we have counts for
4 papers · 1 filter
CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition
Huy Phan, Lars Hertel, Marco Maass +2
We describe in this report our audio scene recognition system submitted to the DCASE 2016 challenge. Firstly, given the label set of the scenes, a label tree is automatically const…
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…
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…
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-…