224 citations · 673 across the 26 of their papers we have counts for
3 papers · 1 filter
A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis
Johan Pauwels, György Fazekas, Mark B. Sandler
In recent years, Markov logic networks (MLNs) have been proposed as a potentially useful paradigm for music signal analysis. Because all hidden Markov models can be reformulated as…
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…
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…