no code implementations • 18 Jul 2023 • Eleanor Row, Jingjing Tang, George Fazekas
In this paper, we outline the curation process for obtaining and sorting the repertoire, the pipeline for creating the Original and Variation pairs, and our analysis of the dataset.
no code implementations • 6 Apr 2023 • Soumya Sai Vanka, Maryam Safi, Jean-Baptiste Rolland, George Fazekas
The integration of artificial intelligence (AI) technology in the music industry is driving a significant change in the way music is being composed, produced and mixed.
no code implementations • 31 Jan 2023 • Yuqiang Li, Shengchen Li, George Fazekas
Results display a general phenomenon of over-fitting from two aspects, the pitch embedding space and the test loss of the single-token grid encoding.
3 code implementations • 18 Apr 2022 • John Muradeli, Cyrus Vahidi, Changhong Wang, Han Han, Vincent Lostanlen, Mathieu Lagrange, George Fazekas
Joint time-frequency scattering (JTFS) is a convolutional operator in the time-frequency domain which extracts spectrotemporal modulations at various rates and scales.
no code implementations • 7 Jun 2017 • Keunwoo Choi, George Fazekas, Kyunghyun Cho, Mark Sandler
The results highlight several important aspects of music tagging and neural networks.
13 code implementations • 14 Sep 2016 • Keunwoo Choi, George Fazekas, Mark Sandler, Kyunghyun Cho
We introduce a convolutional recurrent neural network (CRNN) for music tagging.
no code implementations • 17 Aug 2016 • Keunwoo Choi, George Fazekas, Brian McFee, Kyunghyun Cho, Mark Sandler
Descriptions are often provided along with recommendations to help users' discovery.
1 code implementation • 8 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.
no code implementations • 7 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).
11 code implementations • 1 Jun 2016 • Keunwoo Choi, George Fazekas, Mark Sandler
We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs).
4 code implementations • 18 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.