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Matthew Prockup
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2010 – 2019
- 2018
- [c7]Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end Learning for Music Audio Tagging at Scale. ISMIR 2018: 637-644 - [c6]Samaneh Ebrahimi, Hossein Vahabi
, Matthew Prockup, Oriol Nieto:
Predicting Audio Advertisement Quality. WSDM 2018: 153-161 - [i2]Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto:
Predicting Audio Advertisement Quality. CoRR abs/1802.03319 (2018) - 2017
- [i1]Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end learning for music audio tagging at scale. CoRR abs/1711.02520 (2017) - 2015
- [c5]Matthew Prockup, Andreas F. Ehmann, Fabien Gouyon, Erik M. Schmidt, Òscar Celma, Youngmoo E. Kim:
Modeling Genre with the Music Genome Project: Comparing Human-Labeled Attributes and Audio Features. ISMIR 2015: 31-37 - [c4]Matthew Prockup, Andreas F. Ehmann, Fabien Gouyon, Erik M. Schmidt, Youngmoo E. Kim:
Modeling musical rhythmatscale with the music Genome project. WASPAA 2015: 1-5 - 2014
- [c3]Matthew Prockup, Jeffrey J. Scott, Youngmoo E. Kim:
Representing Musical Patterns via the Rhythmic Style Histogram Feature. ACM Multimedia 2014: 1057-1060 - 2013
- [j1]Matthew Prockup, David Grunberg, Alex Hrybyk, Youngmoo E. Kim:
Orchestral Performance Companion: Using Real-Time Audio to Score Alignment. IEEE Multim. 20(2): 52-60 (2013) - [c2]Matthew Prockup, Erik M. Schmidt, Jeffrey J. Scott, Youngmoo E. Kim:
Toward Understanding Expressive Percussion Through Content Based Analysis. ISMIR 2013: 143-148 - 2012
- [c1]Erik M. Schmidt, Matthew Prockup, Jeffrey J. Scott, Brian Dolhansky, Brandon G. Morton, Youngmoo E. Kim:
Analyzing the Perceptual Salience of Audio Features for Musical Emotion Recognition. CMMR 2012: 278-300
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