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Tuomas Eerola
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Publications
- 2021
- [j19]Juan Sebastián Gómez Cañón, Estefanía Cano, Tuomas Eerola, Perfecto Herrera, Xiao Hu, Yi-Hsuan Yang, Emilia Gómez:
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications. IEEE Signal Process. Mag. 38(6): 106-114 (2021) - 2016
- [j12]Pasi Saari, György Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler:
Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Trans. Affect. Comput. 7(2): 122-135 (2016) - 2014
- [j9]Pasi Saari, Tuomas Eerola:
Semantic Computing of Moods Based on Tags in Social Media of Music. IEEE Trans. Knowl. Data Eng. 26(10): 2548-2560 (2014) - 2013
- [c22]Pasi Saari, Mathieu Barthet, György Fazekas, Tuomas Eerola, Mark B. Sandler:
Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. ICME Workshops 2013: 1-6 - [c21]Pasi Saari, Tuomas Eerola, György Fazekas, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler:
The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection. ISMIR 2013: 201-206 - [i1]Pasi Saari, Tuomas Eerola:
Semantic Computing of Moods Based on Tags in Social Media of Music. CoRR abs/1308.1817 (2013) - 2011
- [j3]Pasi Saari, Tuomas Eerola, Olivier Lartillot:
Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music. IEEE Trans. Speech Audio Process. 19(6): 1802-1812 (2011) - [c18]Jakob Abeßer, Olivier Lartillot, Christian Dittmar, Tuomas Eerola, Gerald Schuller:
Modeling musical attributes to characterize ensemble recordings using rhythmic audio features. ICASSP 2011: 189-192 - 2009
- [j2]Elvira Brattico, Karen Johanne Pallesen, Olga Varyagina, Christopher J. Bailey, Irina Anourova, Miika Järvenpää, Tuomas Eerola, Mari Tervaniemi:
Neural Discrimination of Nonprototypical Chords in Music Experts and Laymen: An MEG Study. J. Cogn. Neurosci. 21(11): 2230-2244 (2009) - [c10]Tuomas Eerola, Olivier Lartillot, Petri Toiviainen:
Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models. ISMIR 2009: 621-626 - 2008
- [c8]José Fornari, Tuomas Eerola:
The Pursuit of Happiness in Music: Retrieving Valence with Contextual Music Descriptors. CMMR 2008: 119-133 - [c7]Olivier Lartillot, Tuomas Eerola, Petri Toiviainen, José Fornari:
Multi-Feature Modeling of Pulse Clarity: Design, Validation and Optimization. ISMIR 2008: 521-526 - 2007
- [j1]Petri Toiviainen, Jaakko Erkkilä, Tuomas Eerola, Geoff Luck, Olivier Lartillot:
Music cognition research amidst the boreal forest. Cogn. Process. 8(1): 57-62 (2007) - [c4]Olivier Lartillot, Petri Toiviainen, Tuomas Eerola:
A Matlab Toolbox for Music Information Retrieval. GfKl 2007: 261-268 - 2005
- [c2]Petri Toiviainen, Tuomas Eerola:
Classification of Musical Metre with Autocorrelation and Discriminant Functions. ISMIR 2005: 351-357 - 2004
- [c1]Tuomas Eerola, Petri Toiviainen:
MIR In Matlab: The MIDI Toolbox. ISMIR 2004
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