Erik M. Schmidt
Erik M. Schmidt
Staff Scientist, Pandora
Bestätigte E-Mail-Adresse bei
TitelZitiert vonJahr
Music emotion recognition: A state of the art review
YE Kim, EM Schmidt, R Migneco, BG Morton, P Richardson, J Scott, ...
Proc. ismir 86, 937-952, 2010
Moodswings: A collaborative game for music mood label collection.
YE Kim, EM Schmidt, L Emelle
Ismir 2008, 231-236, 2008
1000 songs for emotional analysis of music
M Soleymani, MN Caro, EM Schmidt, CY Sha, YH Yang
Proceedings of the 2nd ACM international workshop on Crowdsourcing for …, 2013
Feature selection for content-based, time-varying musical emotion regression
EM Schmidt, D Turnbull, YE Kim
Proceedings of the international conference on Multimedia information …, 2010
Modeling Musical Emotion Dynamics with Conditional Random Fields.
EM Schmidt, YE Kim
ISMIR, 777-782, 2011
Prediction of Time-varying Musical Mood Distributions from Audio.
EM Schmidt, YE Kim
ISMIR, 465-470, 2010
Learning emotion-based acoustic features with deep belief networks
EM Schmidt, YE Kim
2011 IEEE workshop on applications of signal processing to audio and …, 2011
A Comparative Study of Collaborative vs. Traditional Musical Mood Annotation.
JA Speck, EM Schmidt, BG Morton, YE Kim
ISMIR 104, 549-554, 2011
Prediction of time-varying musical mood distributions using Kalman filtering
EM Schmidt, YE Kim
2010 Ninth International Conference on Machine Learning and Applications …, 2010
End-to-end learning for music audio tagging at scale
J Pons, O Nieto, M Prockup, E Schmidt, A Ehmann, X Serra
arXiv preprint arXiv:1711.02520, 2017
Automatic multi-track mixing using linear dynamical systems
J Scott, M Prockup, EM Schmidt, YE Kim
Proceedings of the 8th Sound and Music Computing Conference, Padova, Italy, 12, 2011
Feature Learning in Dynamic Environments: Modeling the Acoustic Structure of Musical Emotion.
EM Schmidt, JJ Scott, YE Kim
ISMIR, 325-330, 2012
Improving music emotion labeling using human computation
BG Morton, JA Speck, EM Schmidt, YE Kim
Proceedings of the acm sigkdd workshop on human computation, 45-48, 2010
Learning Rhythm And Melody Features With Deep Belief Networks.
EM Schmidt, Y Kim
ISMIR, 21-26, 2013
Modeling Musical Rhythm at Scale with the Music Genome Project
M Prockup, AF Ehmann, F Gouyon, EM Schmidt, YE Kim
Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 IEEE …, 2015
The MediaEval 2013 Brave New Task: Emotion in Music.
M Soleymani, MN Caro, EM Schmidt, YH Yang
MediaEval, 2013
Modeling Genre with the Music Genome Project: Comparing Human-Labeled Attributes and Audio Features.
M Prockup, AF Ehmann, F Gouyon, EM Schmidt, O Celma, YE Kim
ISMIR, 31-37, 2015
Efficient Acoustic Feature Extraction for Music Information Retrieval Using Programmable Gate Arrays.
EM Schmidt, K West, YE Kim
ISMIR, 273-278, 2009
Teaching stem concepts through music technology and dsp
YE Kim, AM Batula, R Migneco, P Richardson, B Dolhansky, D Grunberg, ...
2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011
Projection of acoustic features to continuous valence-arousal mood labels via regression
EM Schmidt, YE Kim
Proceedings of the 10th International Society for Music Information …, 2009
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