Erik M. Schmidt

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 4

Top Topics

Music Information Retrieval

Deep Belief Networks

Genre Classification

Top Venues

Publications

Filip Korzeniowski, Oriol Nieto, Matthew McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
Mood Classification Using Listening Data. CoRR (2020)
Filip Korzeniowski, Oriol Nieto, Matthew McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
Mood Classification Using Listening Data. ISMIR (2020)
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)
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 (2017)
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)
Matthew Prockup, Andreas F. Ehmann, Fabien Gouyon, Erik M. Schmidt, Youngmoo E. Kim
Modeling musical rhythmatscale with the music Genome project. WASPAA (2015)
Matthew Prockup, Erik M. Schmidt, Jeffrey J. Scott, Youngmoo E. Kim
Toward Understanding Expressive Percussion Through Content Based Analysis. ISMIR (2013)
Amelie Anglade, Eric Humphrey, Erik M. Schmidt, Sebastian Stober, Mohamed Sordo
Demos and Late-Breaking Session of the Thirteenth International Society for Music Information Retrieval Conference (ISMIR 2012). Comput. Music. J. 37 (2) (2013)
David S. Rosen, Erik M. Schmidt, Youngmoo E. Kim
Utilizing music technology as a model for creativity development in K-12 education. Creativity & Cognition (2013)
Erik M. Schmidt, Youngmoo E. Kim
Learning Rhythm And Melody Features With Deep Belief Networks. ISMIR (2013)
Mohammad Soleymani, Michael N. Caro, Erik M. Schmidt, Cheng-Ya Sha, Yi-Hsuan Yang
1000 songs for emotional analysis of music. CrowdMM@ACM Multimedia (2013)
Mohammad Soleymani, Michael N. Caro, Erik M. Schmidt, Yi-Hsuan Yang
The MediaEval 2013 Brave New Task: Emotion in Music. MediaEval (2013)
David Grunberg, Alyssa M. Batula, Erik M. Schmidt, Youngmoo E. Kim
Synthetic Emotions for Humanoids: Perceptual Effects of Size and Number of Robot Platforms. Int. J. Synth. Emot. 3 (2) (2012)
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)
David Grunberg, Alyssa M. Batula, Erik M. Schmidt, Youngmoo E. Kim
Affective gesturing with music mood recognition. Humanoids (2012)
Erik M. Schmidt, Jeffrey J. Scott, Youngmoo E. Kim
Feature Learning in Dynamic Environments: Modeling the Acoustic Structure of Musical Emotion. ISMIR (2012)
Erik M. Schmidt, Youngmoo E. Kim
Learning emotion-based acoustic features with deep belief networks. WASPAA (2011)
Erik M. Schmidt, Raymond Migneco, Jeffrey J. Scott, Youngmoo E. Kim
Modeling musical instrument tones as dynamic textures. WASPAA (2011)
Jacquelin A. Speck, Erik M. Schmidt, Brandon G. Morton, Youngmoo E. Kim
A Comparative Study of Collaborative vs. Traditional Musical Mood Annotation. ISMIR (2011)
Erik M. Schmidt, Youngmoo E. Kim
Modeling Musical Emotion Dynamics with Conditional Random Fields. ISMIR (2011)
Youngmoo E. Kim, Erik M. Schmidt, Raymond Migneco, Brandon G. Morton, Patrick Richardson, Jeffrey J. Scott, Jacquelin A. Speck, Douglas Turnbull
State of the Art Report: Music Emotion Recognition: A State of the Art Review. ISMIR (2010)
Erik M. Schmidt, Youngmoo E. Kim
Prediction of Time-varying Musical Mood Distributions from Audio. ISMIR (2010)
Brandon G. Morton, Jacquelin A. Speck, Erik M. Schmidt, Youngmoo E. Kim
Improving music emotion labeling using human computation. HCOMP@KDD (2010)
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
Feature selection for content-based, time-varying musical emotion regression. Multimedia Information Retrieval (2010)
Erik M. Schmidt, Youngmoo E. Kim
Prediction of Time-Varying Musical Mood Distributions Using Kalman Filtering. ICMLA (2010)
Erik M. Schmidt, Kris West, Youngmoo E. Kim
Efficient Acoustic Feature Extraction for Music Information Retrieval Using Programmable Gate Arrays. ISMIR (2009)
Youngmoo E. Kim, Erik M. Schmidt, Lloyd Emelle
MoodSwings: A Collaborative Game for Music Mood Label Collection. ISMIR (2008)