2017
CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification
ICASSP 2017accepted
We present in this work an approach for audio scene classification. Firstly, given the label set of the scenes, a label tree is automatically constructed where the labels are grouped into meta-classes. This category taxonomy is then used in the feature extraction step in which an audio scene instanc…