| A Matlab toolbox for musical feature extraction from audio O Lartillot, P Toiviainen International conference on digital audio effects 237, 244, 2007 | 1454 | 2007 |
| A matlab toolbox for music information retrieval O Lartillot, P Toiviainen, T Eerola Data Analysis, Machine Learning and Applications: Proceedings of the 31st …, 2008 | 618 | 2008 |
| Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models. T Eerola, O Lartillot, P Toiviainen Ismir, 621-626, 2009 | 245 | 2009 |
| Using machine-learning methods for musical style modeling S Dubnov, G Assayag, O Lartillot, G Bejerano Computer 36 (10), 73-80, 2003 | 223 | 2003 |
| Multi-Feature Modeling of Pulse Clarity: Design, Validation and Optimization. O Lartillot, T Eerola, P Toiviainen, J Fornari ISMIR, 521-526, 2008 | 196 | 2008 |
| Generalizability and simplicity as criteria in feature selection: Application to mood classification in music P Saari, T Eerola, O Lartillot IEEE Transactions on audio, speech, and language processing 19 (6), 1802-1812, 2010 | 112 | 2010 |
| Exploring relationships between audio features and emotion in music C Laurier, O Lartillot, T Eerola, P Toiviainen ESCOM 2009: 7th triennial conference of european society for the cognitive …, 2009 | 99 | 2009 |
| Modelling the relationships between emotional responses to, and musical content of, music therapy improvisations G Luck, P Toiviainen, J Erkkilä, O Lartillot, K Riikkilä, A Mäkelä, ... Psychology of music 36 (1), 25-45, 2008 | 85 | 2008 |
| Event-related brain responses while listening to entire pieces of music H Poikonen, V Alluri, E Brattico, O Lartillot, M Tervaniemi, M Huotilainen Neuroscience 312, 58-73, 2016 | 74 | 2016 |
| A musical pattern discovery system founded on a modeling of listening strategies O Lartillot Computer Music Journal 28 (3), 53-67, 2004 | 61 | 2004 |
| Mirtoolbox 1.6. 1 user’s manual O Lartillot, P Toiviainen, T Eerola Aalborg University, Denmark, 2014 | 60 | 2014 |
| Multi-dimensional motivic pattern extraction founded on adaptive redundancy filtering O Lartillot Journal of New Music Research 34 (4), 375-393, 2005 | 56 | 2005 |
| Automatic modeling of musical style O Lartillot, S Dubnov, G Assayag, G Bejerano International Computer Music Conference, ICMC Proceedings, 2001 | 55 | 2001 |
| MIRtoolbox O Lartillot https://www. jyu. fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox, 2008 | 53 | 2008 |
| Mirtoolbox user’s manual O Lartillot Finnish Centre of Excelence in Interdisciplinary Music Research, 2011 | 46 | 2011 |
| Data analysis, machine learning and applications O Lartillot, P Toiviainen, T Eerola, C Preisach, H Burkhardt, ... Springer Berlin Heidelberg, Berlin, Heidelberg, 2008 | 45 | 2008 |
| Genre-adaptive semantic computing and audio-based modelling for music mood annotation P Saari, G Fazekas, T Eerola, M Barthet, O Lartillot, M Sandler IEEE Transactions on Affective Computing 7 (2), 122-135, 2015 | 43 | 2015 |
| Exploring relationships between level of mental retardation and features of music therapy improvisations: a computational approach G Luck, K Riikkilä, O Lartillot, J Erkkilä, P Toiviainen, A Mäkelä, ... Nordic Journal of Music Therapy 15 (1), 30-48, 2006 | 42 | 2006 |
| Motivic matching strategies for automated pattern extraction O Lartillot, P Toiviainen Musicae Scientiae 11 (1_suppl), 281-314, 2007 | 40 | 2007 |
| Timing is everything… or is it? Effects of instructed timing style, reference, and pattern on drum kit sound in groove-based performance GS Câmara, K Nymoen, O Lartillot, A Danielsen Music Perception: An Interdisciplinary Journal 38 (1), 1-26, 2020 | 30 | 2020 |
