George Fazekas
TítuloCitado porAño
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
2162017
Automatic tagging using deep convolutional neural networks
K Choi, G Fazekas, M Sandler
arXiv preprint arXiv:1606.00298, 2016
1822016
Transfer learning for music classification and regression tasks
K Choi, G Fazekas, M Sandler, K Cho
arXiv preprint arXiv:1703.09179, 2017
932017
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, ...
732015
Multidisciplinary perspectives on music emotion recognition: Implications for content and context-based models
M Barthet, G Fazekas, M Sandler
Proc. CMMR, 492-507, 2012
702012
Text-based LSTM networks for automatic music composition
K Choi, G Fazekas, M Sandler
arXiv preprint arXiv:1604.05358, 2016
482016
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
462010
Safe: A System for Extraction and Retrieval of Semantic Audio Descriptors
R Stables, S Enderby, B De Man, G Fazekas, JD Reiss
452014
The open multitrack testbed
B De Man, M Mora-Mcginity, G Fazekas, JD Reiss
Audio Engineering Society Convention 137, 2014
442014
The Studio Ontology Framework.
G Fazekas, MB Sandler
ISMIR, 471-476, 2011
352011
A tutorial on deep learning for music information retrieval
K Choi, G Fazekas, K Cho, M Sandler
arXiv preprint arXiv:1709.04396, 2017
342017
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
322012
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
302018
Knowledge Representation Issues in Musical Instrument Ontology Design.
S Kolozali, M Barthet, G Fazekas, MB Sandler
ISMIR, 465-470, 2011
282011
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
252010
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
212018
Intelligent editing of studio recordings with the help of automatic music structure extraction
G Fazekas, M Sandler
Audio Engineering Society Convention 122, 2007
212007
Explaining deep convolutional neural networks on music classification
K Choi, G Fazekas, M Sandler
arXiv preprint arXiv:1607.02444, 2016
202016
The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection.
P Saari, T Eerola, G Fazekas, M Barthet, O Lartillot, MB Sandler
ISMIR, 201-206, 2013
202013
A Study of Cultural Dependence of Perceived Mood in Greek Music.
K Kosta, Y Song, G Fazekas, MB Sandler
ISMIR, 317-322, 2013
202013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20