A large set of audio features for sound description (similarity and classification) in the CUIDADO project G Peeters CUIDADO Ist Project Report 54 (0), 1-25, 2004 | 1270 | 2004 |
The timbre toolbox: Extracting audio descriptors from musical signals G Peeters, BL Giordano, P Susini, N Misdariis, S McAdams The Journal of the Acoustical Society of America 130 (5), 2902-2916, 2011 | 535 | 2011 |
Automatic classification of musical instrument sounds P Herrera-Boyer, G Peeters, S Dubnov Journal of New Music Research 32 (1), 3-21, 2003 | 311 | 2003 |
Toward automatic music audio summary generation from signal analysis G Peeters, A La Burthe, X Rodet ISMIR, 1-1, 2002 | 235 | 2002 |
Instrument sound description in the context of MPEG-7 G Peeters, S McAdams, P Herrera ICMC: International Computer Music Conference, 166-169, 2000 | 187 | 2000 |
MuBu and friends–assembling tools for content based real-time interactive audio processing in Max/MSP N Schnell, A Röbel, D Schwarz, G Peeters, R Borghesi ICMC, 2009 | 146 | 2009 |
Large-scale study of chord estimation algorithms based on chroma representation and HMM H Papadopoulos, G Peeters 2007 International Workshop on Content-Based Multimedia Indexing, 53-60, 2007 | 140 | 2007 |
Evaluation of statistical models for clear‐air scintillation prediction using olympus satellite measurements G Peeters, FS Marzano, G d'Auria, C Riva, D Vanhoenacker‐Janvier International journal of satellite communications 15 (2), 73-88, 1997 | 129 | 1997 |
Template-based estimation of time-varying tempo G Peeters EURASIP Journal on Advances in Signal Processing 2007, 1-14, 2006 | 124 | 2006 |
Singing voice detection in music tracks using direct voice vibrato detection L Regnier, G Peeters 2009 IEEE international conference on acoustics, speech and signal …, 2009 | 119 | 2009 |
Sequence Representation of Music Structure Using Higher-Order Similarity Matrix and Maximum-Likelihood Approach. G Peeters ISMIR, 35-40, 2007 | 110 | 2007 |
Simultaneous beat and downbeat-tracking using a probabilistic framework: Theory and large-scale evaluation G Peeters, H Papadopoulos IEEE Transactions on Audio, Speech, and Language Processing 19 (6), 1754-1769, 2010 | 109 | 2010 |
Deriving musical structures from signal analysis for music audio summary generation:“sequence” and “state” approach G Peeters International symposium on computer music modeling and retrieval, 143-166, 2003 | 104 | 2003 |
Dali: A large dataset of synchronized audio, lyrics and notes, automatically created using teacher-student machine learning paradigm G Meseguer-Brocal, A Cohen-Hadria, G Peeters arXiv preprint arXiv:1906.10606, 2019 | 102 | 2019 |
Joint estimation of chords and downbeats from an audio signal H Papadopoulos, G Peeters IEEE Transactions on Audio, Speech, and Language Processing 19 (1), 138-152, 2010 | 102 | 2010 |
Chroma-based estimation of musical key from audio-signal analysis. G Peeters ISMIR, 115-120, 2006 | 102 | 2006 |
Automatic classification of large musical instrument databases using hierarchical classifiers with inertia ratio maximization G Peeters Audio Engineering Society Convention 115, 2003 | 99 | 2003 |
Roadmap for music information research X Serra, M Magas, E Benetos, M Chudy, S Dixon, A Flexer, ... The MIReS Consortium, 2013 | 98 | 2013 |
SINOLA: A new analysis/synthesis method using spectrum peak shape distortion, phase and reassigned spectrum G Peeters, X Rodet ICMC, 1999 | 85 | 1999 |
Musical key estimation of audio signal based on hidden Markov modeling of chroma vectors G Peeters Proceedings of the International Conference on Digital Audio Effects (DAFx …, 2006 | 84 | 2006 |