224 citations · 673 across the 26 of their papers we have counts for
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cs.CV2020★ 6 cited
Optical Music Recognition: State of the Art and Major Challenges
Elona Shatri, György Fazekas
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-readable format. The transcribed copy should allow musicians to compose, play and edit mus…
cs.CV2017★ 73 cited
A Tutorial on Deep Learning for Music Information Retrieval
Keunwoo Choi, György Fazekas, Kyunghyun Cho +1
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…
cs.CV2017★ 125 cited
Transfer learning for music classification and regression tasks
Keunwoo Choi, György Fazekas, Mark Sandler +1
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…