  This report describes our submission to the ActivityNet Challenge at CVPR
2019. We use a 3D convolutional neural network (CNN) based front-end and an
ensemble of temporal convolution and LSTM classifiers to predict whether a
visible person is speaking or not. Our results show significant improvements
over the baseline on the AVA-ActiveSpeaker dataset.
