Details

Title

Deep Image Features in Music Information Retrieval

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2014

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

2014

Identifier

ISSN 2081-8491 (until 2012) ; eISSN 2300-1933 (since 2013)

References

Grzywczak (2014), Audio features in music information retrieval in Active Media Technology ser Lecture Notes in Computer - Springer International Publishing vol pp, Science, 8610. ; Futrelle (2002), Interdisciplinary Communities and Research Issues in Music Information Retrieval Library and Information Science pp Available http citeseerx ist psu edu viewdoc download doi, Online, 215, doi.org/10.1.1.133.9456\&rep=rep1\&type=pdf ; Rao (2008), Audio signal processing in Speech Audio Image and Biomedical Signal Processing using Neural Networks ser Studies in Computational Springer Berlin Heidelberg vol pp, Intelligence, 83. ; Downie (2010), The music information retrieval evaluation exchange : Some observations and insights in Advances in Music Information Retrieval ser Studies in Computational vol pp Available http dblp uni trier de db series sci sci html DownieEBJ, Intelligence Online, 10, 274. ; Krizhevsky (2012), Imagenet classification with deep convolutional neural networks Advances in Neural Information pp Available http books nips cc papers files nips NIPS pdf, Online, 1. ; Kassler (1966), Toward Musical Information Perspectives of New Music vol no pp Available http www jstor org discover uid uid uid uid uid sid, Online, 4. ; Song (2012), A survey of music recommendation systems and future perspectives th International Symposium on Computer Music Modeling and Retrieval Available http www mendeley com research survey music recommendation systems future perspectives, Online, 9. ; Schmidhuber (2012), Multi - column deep neural networks for image classification in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition ser CVPR DC USA : IEEE Computer pp Available http dl acm org citation cfm id, Society Online, 3642. ; ICCV (2013), Practical Transfer Learning Algorithm for Face Verification International Conference on Computer Vision Available http research microsoft com apps pubs default aspx id, Online, 202192.

DOI

10.2478/eletel-2014-0042

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