George Fazekas
Cited by
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Convolutional recurrent neural networks for music classification
K Choi, G Fazekas, M Sandler, K Cho
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Automatic tagging using deep convolutional neural networks
K Choi, G Fazekas, M Sandler
arXiv preprint arXiv:1606.00298, 2016
Transfer learning for music classification and regression tasks
K Choi, G Fazekas, M Sandler, K Cho
arXiv preprint arXiv:1703.09179, 2017
Music emotion recognition: From content-to context-based models
M Barthet, G Fazekas, M Sandler
International Symposium on Computer Music Modeling and Retrieval, 228-252, 2012
Computer-aided melody note transcription using the Tony software: Accuracy and efficiency
M Mauch, C Cannam, R Bittner, G Fazekas, J Salamon, J Dai, J Bello, ...
Text-based LSTM networks for automatic music composition
K Choi, G Fazekas, M Sandler
arXiv preprint arXiv:1604.05358, 2016
A tutorial on deep learning for music information retrieval
K Choi, G Fazekas, K Cho, M Sandler
arXiv preprint arXiv:1709.04396, 2017
Safe: A System for Extraction and Retrieval of Semantic Audio Descriptors
R Stables, S Enderby, B De Man, G Fazekas, JD Reiss
An overview of semantic web activities in the OMRAS2 project
G Fazekas, Y Raimond, K Jacobson, M Sandler
Journal of New Music Research 39 (4), 295-311, 2010
Open Multitrack Testbed
B De Man, M Mora-Mcginity, G Fazekas, JD Reiss
AES Convention, 2014
Towards a Semantic Architecture for the Internet of Musical Things
L Turchet, F Viola, G Fazekas, M Barthet
2018 23rd Conference of Open Innovations Association (FRUCT), 382-390, 2018
The Studio Ontology Framework.
G Fazekas, MB Sandler
ISMIR, 471-476, 2011
Knowledge Representation Issues in Musical Instrument Ontology Design.
S Kolozali, M Barthet, G Fazekas, MB Sandler
ISMIR, 465-470, 2011
A comparison of audio signal preprocessing methods for deep neural networks on music tagging
K Choi, G Fazekas, M Sandler, K Cho
2018 26th European Signal Processing Conference (EUSIPCO), 1870-1874, 2018
Explaining deep convolutional neural networks on music classification
K Choi, G Fazekas, M Sandler
arXiv preprint arXiv:1607.02444, 2016
Music ontology specification
Y Raimond, F Giasson, K Jacobson, G Fazekas, T Gängler, S Reinhardt
Specification Document (November 28, 2010), latest version http://purl. org …, 2010
Genre-adaptive semantic computing and audio-based modelling for music mood annotation
P Saari, G Fazekas, T Eerola, M Barthet, O Lartillot, M Sandler
IEEE Transactions on Affective Computing 7 (2), 122-135, 2015
Auralisation of deep convolutional neural networks: Listening to learned features
K Choi, G Fazekas, M Sandler, J Kim
Proceedings of the 16th International Society for Music Information …, 2015
Intelligent editing of studio recordings with the help of automatic music structure extraction
G Fazekas, M Sandler
Audio Engineering Society Convention 122, 2007
On the use of the tempogram to describe audio content and its application to music structural segmentation
M Tian, G Fazekas, DAA Black, M Sandler
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
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