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Geoffroy Peeters
Geoffroy Peeters
Télécom Paris (previously IRCAM - STMS)
Bestätigte E-Mail-Adresse bei telecom-paris.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
13042004
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
5682011
Automatic classification of musical instrument sounds
P Herrera-Boyer, G Peeters, S Dubnov
Journal of New Music Research 32 (1), 3-21, 2003
3132003
Toward automatic music audio summary generation from signal analysis
G Peeters, A La Burthe, X Rodet
ISMIR, 1-1, 2002
2342002
Instrument sound description in the context of MPEG-7
G Peeters, S McAdams, P Herrera
ICMC: International Computer Music Conference, 166-169, 2000
1922000
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
1492009
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
1432007
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
1291997
Template-based estimation of time-varying tempo
G Peeters
EURASIP Journal on Advances in Signal Processing 2007, 1-14, 2006
1222006
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
1212009
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
1092010
Sequence Representation of Music Structure Using Higher-Order Similarity Matrix and Maximum-Likelihood Approach.
G Peeters
ISMIR, 35-40, 2007
1092007
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
1062003
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
1052019
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
1042010
Chroma-based estimation of musical key from audio-signal analysis.
G Peeters
ISMIR, 115-120, 2006
1042006
Roadmap for music information research
X Serra, M Magas, E Benetos, M Chudy, S Dixon, A Flexer, ...
The MIReS Consortium, 2013
1032013
Automatic classification of large musical instrument databases using hierarchical classifiers with inertia ratio maximization
G Peeters
Audio Engineering Society Convention 115, 2003
1022003
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
852006
SINOLA: A new analysis/synthesis method using spectrum peak shape distortion, phase and reassigned spectrum
G Peeters, X Rodet
ICMC, 1999
851999
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