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Phrase-Level Audio Segmentation Of Jazz Improvisations Informed By Symbolic Data

Jeff Gregorio, Youngmoo Kim
2016 Zenodo  
Table 1 . 1 Segmentation results Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  tempo Proceedings of the 17th ISMIR Conference, New York City, USA, August 7-11, 2016 annotation provided by WJazzD.  ... 
doi:10.5281/zenodo.1414789 fatcat:gz2es22mwbe2pbrwkob7si4h6a

Exploring Customer Reviews For Music Genre Classification And Evolutionary Studies

Sergio Oramas, Luis Espinosa Anke, Aonghus Lawlor, Xavier Serra, Horacio Saggion
2016 Zenodo  
of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016 https://research.stlouisfed.org  ...  http://musicbrainz.org/ 2 http://acousticbrainz.org Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016 http://tagme.di.unipi.it/ http://scikit-learn.org/ Proceedings  ... 
doi:10.5281/zenodo.1415543 fatcat:mzdw3uk4gjgjxgmd75qhrqp4em

Further Steps Towards A Standard Testbed For Optical Music Recognition

Jan Hajic, Jiri Novotný, Pavel Pecina, Jaroslav Pokorný
2016 Zenodo  
We would also like to thank our annotators from the Janáček Academy of Music and Performing Arts in Brno and elsewhere, and Alicia Fornés for providing additional background and material for the CVC-MUSCIMA  ...  This research is supported by the Czech Science Foundation, grant number P103/12/G084.  ...  , New York City, USA,August 7-11, 2016 http://www.lilypond.orgProceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016 Proceedings of the 17th ISMIR Conference, New  ... 
doi:10.5281/zenodo.1418161 fatcat:36hs63a5w5c7de47arms34x5fe

Downbeat Tracking Using Beat Synchronous Features With Recurrent Neural Networks

Florian Krebs, Sebastian Böck, Matthias Dorfer, Gerhard Widmer
2016 Zenodo  
August 7-11, 2016 Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "DOWNBEAT TRACK-ING USING BEAT-SYNCHRONOUS FEATURES AND RECURRENT NEURAL NETWORKS", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1417818 fatcat:625mdczyrrhrnn6gfx6eff7gca

On The Use Of Note Onsets For Improved Lyrics-To-Audio Alignment In Turkish Makam Music

Georgi Dzhambazov, Ajay Srinivasamurthy, Sertan Sentürk, Xavier Serra
2016 Zenodo  
We acknowledge as well financial support from the Spanish Ministry of Economy and Competitiveness, through the "María de Maeztu" Programme for Centres/Units of Excellence in R&D" (MDM-2015-0502)  ...  Acknowledgements We thank Nadine Kroher for providing help with running the note segmentation module.  ...  Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016 http://compmusic.upf.edu/node/233 Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ... 
doi:10.5281/zenodo.1415987 fatcat:i7qivzgv7jblhlk2jskjsvhdhq

Predicting Missing Music Components With Bidirectional Long Short-Term Memory Neural Networks

I-Ting Liu, Richard Randall
2016 Zenodo  
of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016 Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Predicting Missing Music Components with Bidirectional Long Short-Term Memory Neural Networks", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1417239 fatcat:qtzv7md32bhfldqyuvhai62qbq

A Neural Greedy Model For Voice Separation In Symbolic Music

Patrick Gray, Razvan C. Bunescu
2016 Zenodo  
As was done in [6] , for lack of an answer to this inconsistency, we present the metrics exactly as in [14] .Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016 In [14] it is stated that soundness and completeness "as suggested by Kirlin [11] " were used for evaluation; however, the textual  ... 
doi:10.5281/zenodo.1417251 fatcat:h3ltboogefdbnhypgkjq564ipi

Singing Voice Melody Transcription Using Deep Neural Networks

François Rigaud, Mathieu Radenen
2016 Zenodo  
Figure 7 : 7 Voicing detection and overall performance of the proposed system for iKala and MedleyDB test datasets. Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Singing Voice Melody Transcription using Deep Neural Networks", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1418051 fatcat:76ashwxdbregdjw66kebq4gcxa

Melody Extraction On Vocal Segments Using Multi-Column Deep Neural Networks

Sangeun Kum, Changheun Oh, Juhan Nam
2016 Zenodo  
github.com/fchollet/keras Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1414788 fatcat:7a65jbrknndivh6pnrt5aewvye

Bayesian Meter Tracking On Learned Signal Representations

Andre Holzapfel, Thomas Grill
2016 Zenodo  
http://compmusic.upf.edu/carnatic-rhythm-dataset http://compmusic.upf.edu/hindustani-rhythm-dataset Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Bayesian meter tracking on learned signal representations", 17th International Society for Music Information Retrieval Conference, 2016. Figure 1 : 1 The CNN architecture in use.  ... 
doi:10.5281/zenodo.1417262 fatcat:tplicellt5f63ghkf77e7knciu

Learning And Visualizing Music Specifications Using Pattern Graphs

Rafael Valle, Daniel J. Fremont, Ilge Akkaya, Alexandre Donzé, Adrian Freed, Sanjit A. Seshia
2016 Zenodo  
ACKNOWLEDGEMENTS This research was supported in part by the TerraSwarm Research Center, one of six centers supported by the STAR net phase of the Focus Center Research Program (FCRP) a Semiconductor Research  ...  https://github.com/rafaelvalle/music_pattern_ graphs Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Learning And Visualizing Music Specifications Using Pattern Graphs", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1414953 fatcat:uqlpqmjn2jaevpjcjzsclygfe4

Music Structural Segmentation Across Genres With Gammatone Features

Mi Tian, Mark B. Sandler
2016 Zenodo  
Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Music Structural Segmentation Across Genres with Gammatone Features", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1417713 fatcat:4s7uaselsffi7bvrlx2otnuroq

Integration And Quality Assessment Of Heterogeneous Chord Sequences Using Data Fusion

Hendrik Vincent Koops, W. Bas De Haas, Dimitrios Bountouridis, Anja Volk
2016 Zenodo  
Volk are supported by the Netherlands Organization for Scientific Research, through the NWO-VIDI-grant -- to A. Volk. D. Bountouridis is supported by the FES project COM-MIT/.  ...  Acknowledgements We thank anonymous reviewers for providing valuable comments on an earlier draft on this text. H.V. Koops and A.  ...  Ironically, this quote's origin is unclear, but most sources cite Lenin.Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016 Proceedings of the 17th ISMIR Conference, New  ... 
doi:10.5281/zenodo.1415954 fatcat:va5amfb6q5dxragehn2shvxjbm

Deep Convolutional Networks On The Pitch Spiral For Music Instrument Recognition

Vincent Lostanlen, Carmine-Emanuele Cella
2016 Zenodo  
Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Deep convolutional networks on the pitch spiral for music instrument recognition", 17th International Society for Music Information Retrieval Conference, 2016.  ... 
doi:10.5281/zenodo.1416928 fatcat:gekxk4m5ija67g6qjmcyxxccmi

Human-Interactive Optical Music Recognition

Liang Chen, Erik Stolterman, Christopher Raphael
2016 Zenodo  
Proceedings of the 17th ISMIR Conference, New York City, USA,August 7-11, 2016  ...  "Human-Interactive Optical Music Recognition", 17th International Society for Music Information Retrieval Conference, 2016. Figure 1 : 1 (a) Graphical model for isolated chord.  ... 
doi:10.5281/zenodo.1416184 fatcat:rlauxflghjdbdnzuoti454zk7e
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