Search Results for author: George Fazekas

Found 7 papers, 4 papers with code

Towards Music Captioning: Generating Music Playlist Descriptions

no code implementations17 Aug 2016 Keunwoo Choi, George Fazekas, Brian McFee, Kyunghyun Cho, Mark Sandler

Descriptions are often provided along with recommendations to help users' discovery.

Explaining Deep Convolutional Neural Networks on Music Classification

1 code implementation8 Jul 2016 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.

Chord Recognition Classification +5

Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions

no code implementations7 Jun 2016 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).

Automatic tagging using deep convolutional neural networks

8 code implementations1 Jun 2016 Keunwoo Choi, George Fazekas, Mark Sandler

We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs).

Music Tagging

Text-based LSTM networks for Automatic Music Composition

3 code implementations18 Apr 2016 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.

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