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- Keunwoo Choi, George Fazekas, Mark B. Sandler
- ISMIR
- 2016
We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs). We evaluate different architectures consisting of 2D convolutional layers and… (More)
- Keunwoo Choi, George Fazekas, Mark B. Sandler, Kyunghyun Cho
- IEEE International Conference on Acoustics…
- 2016
We introduce a convolutional recurrent neural network (CRNN) for music tagging. CRNNs take advantage of convolutional neural networks (CNNs) for local feature extraction and recurrent neural networks… (More)
- Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
- ISMIR
- 2017
In this paper, we present a transfer learning approach for music classification and regression tasks. We propose to use a pre-trained convnet feature, a concatenated feature vector using the… (More)
- Keunwoo Choi, George Fazekas, Mark B. Sandler
- ArXiv
- 2016
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 to learn… (More)
- Keunwoo Choi, Deokjin Joo, Juho Kim
- ArXiv
- 2017
We introduce Kapre, Keras layers for audio and music signal preprocessing. Music research using deep neural networks requires a heavy and tedious preprocessing stage, for which audio processing… (More)
- Keunwoo Choi, George Fazekas, Mark B. Sandler
- ArXiv
- 2016
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. However, the… (More)
- Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
- ArXiv
- 2017
Following their success in Computer Vision and other areas, deep learning techniques have recently become widely adopted in Music Information Retrieval (MIR) research. However, the majority of works… (More)
- Yeonwoo Jeong, Keunwoo Choi, Hosan Jeong
- ArXiv
- 2017
In the use of deep neural networks, it is crucial to provide appropriate input representations for the network to learn from. In this paper, we propose an approach to learn a representation that… (More)
Deep learning has been actively adopted in the field of music information retrieval, e.g. genre classification, mood detection, and chord recognition. Deep convolutional neural networks (CNNs), one… (More)
- Keunwoo Choi, George Fazekas, Mark B. Sandler
- UMAP
- 2016
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 transitions between… (More)