32 citations · 32 across the 1 of their papers we have counts for
4 papers
Explaining Deep Convolutional Neural Networks on Music Classification
Keunwoo Choi, George Fazekas, Mark Sandler
Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e.g. genre classification, mood detection, and chord recognition.…
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions
Keunwoo Choi, George Fazekas, Mark Sandler
We introduce a novel playlist generation algorithm that focuses on the quality of transitions using a recurrent neural network (RNN). The proposed model assumes that optimal transi…
Automatic tagging using deep convolutional neural networks
Keunwoo Choi, George Fazekas, Mark Sandler
We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs). We evaluate different architectures consisting of 2D convolutional la…
Text-based LSTM networks for Automatic Music Composition
Keunwoo Choi, George Fazekas, Mark Sandler
In this paper, we introduce new methods and discuss results of text-based LSTM (Long Short-Term Memory) networks for automatic music composition. The proposed network is designed t…