2020

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Mood Classification Using Listening Data
Filip Korzeniowski | Oriol Nieto | Matthew C. McCallum | Minz Won | Sergio Oramas | Erik M. Schmidt
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020

2018

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End-to-end Learning for Music Audio Tagging at Scale
Jordi Pons | Oriol Nieto | Matthew Prockup | Erik M. Schmidt | Andreas F. Ehmann | Xavier Serra
Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018

2015

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Modeling Genre with the Music Genome Project: Comparing Human-Labeled Attributes and Audio Features
Matthew Prockup | Andreas F. Ehmann | Fabien Gouyon | Erik M. Schmidt | Òscar Celma | Youngmoo E. Kim
Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015, Málaga, Spain, October 26-30, 2015

2013

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Toward Understanding Expressive Percussion Through Content Based Analysis
Matthew Prockup | Erik M. Schmidt | Jeffrey J. Scott | Youngmoo E. Kim
Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013, Curitiba, Brazil, November 4-8, 2013

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Learning Rhythm And Melody Features With Deep Belief Networks
Erik M. Schmidt | Youngmoo E. Kim
Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013, Curitiba, Brazil, November 4-8, 2013

2012

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Feature Learning in Dynamic Environments: Modeling the Acoustic Structure of Musical Emotion
Erik M. Schmidt | Jeffrey J. Scott | Youngmoo E. Kim
Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012, Mosteiro S.Bento Da Vitória, Porto, Portugal, October 8-12, 2012

2011

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Modeling Musical Emotion Dynamics with Conditional Random Fields
Erik M. Schmidt | Youngmoo E. Kim
Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, Miami, Florida, USA, October 24-28, 2011

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A Comparative Study of Collaborative vs. Traditional Musical Mood Annotation
Jacquelin A. Speck | Erik M. Schmidt | Brandon G. Morton | Youngmoo E. Kim
Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, Miami, Florida, USA, October 24-28, 2011

2010

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Feature selection for content-based, time-varying musical emotion regression
Erik M. Schmidt | Douglas Turnbull | Youngmoo E. Kim
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2010, Philadelphia, Pennsylvania, USA, March 29-31, 2010

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Prediction of Time-varying Musical Mood Distributions from Audio
Erik M. Schmidt | Youngmoo E. Kim
Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010, Utrecht, Netherlands, August 9-13, 2010

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State of the Art Report: Music Emotion Recognition: A State of the Art Review
Youngmoo E. Kim | Erik M. Schmidt | Raymond Migneco | Brandon G. Morton | Patrick Richardson | Jeffrey J. Scott | Jacquelin A. Speck | Douglas Turnbull
Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010, Utrecht, Netherlands, August 9-13, 2010

2009

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Efficient Acoustic Feature Extraction for Music Information Retrieval Using Programmable Gate Arrays
Erik M. Schmidt | Kris West | Youngmoo E. Kim
Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009, Kobe International Conference Center, Kobe, Japan, October 26-30, 2009

2008

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MoodSwings: A Collaborative Game for Music Mood Label Collection
Youngmoo E. Kim | Erik M. Schmidt | Lloyd Emelle
ISMIR 2008, 9th International Conference on Music Information Retrieval, Drexel University, Philadelphia, PA, USA, September 14-18, 2008

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