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2020 – today
- 2024
[c84]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. ICASSP Workshops 2024: 680-684- [c83]Côme Peladeau, Geoffroy Peeters:
Blind Estimation of Audio Effects Using an Auto-Encoder Approach and Differentiable Digital Signal Processing. ICASSP 2024: 856-860 - [c82]Antonin Gagneré, Slim Essid, Geoffroy Peeters:
Adapting Pitch-Based Self Supervised Learning Models for Tempo Estimation. ICASSP 2024: 956-960 - [c81]Aurian Quelennec, Michel Olvera, Geoffroy Peeters, Slim Essid:
On The Choice of the Optimal Temporal Support for Audio Classification with Pre-Trained Embeddings. ICASSP 2024: 976-980 - [c80]Bernardo Torres, Geoffroy Peeters, Gaël Richard:
Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport. ICASSP 2024: 1176-1180 - [c79]Sarah Nabi
, Philippe Esling, Geoffroy Peeters, Frédéric Bevilacqua:
Embodied exploration of deep latent spaces in interactive dance-music performance. MOCO 2024: 12 - [i21]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. CoRR abs/2405.08679 (2024) - [i20]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Michael Anslow, Geoffroy Peeters:
Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation. CoRR abs/2408.02514 (2024) - 2023
- [j18]Laure Prétet, Gaël Richard, Clément Souchier, Geoffroy Peeters:
Video-to-Music Recommendation Using Temporal Alignment of Segments. IEEE Trans. Multim. 25: 2898-2911 (2023) - [c78]Florian Angulo, Slim Essid, Geoffroy Peeters, Christophe Mietlicki:
Cosmopolite Sound Monitoring (CoSMo): A Study of Urban Sound Event Detection Systems Generalizing to Multiple Cities. ICASSP 2023: 1-5 - [c77]Félix Mathieu, Thomas Courtat, Gaël Richard, Geoffroy Peeters:
Learning Interpretable Filters In Wav-UNet For Speech Enhancement. ICASSP 2023: 1-5 - [c76]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
PESTO: Pitch Estimation With Self-Supervised Transposition-Equivariant Objective. ISMIR 2023: 535-544 - [c75]Geoffroy Peeters:
Self-Similarity-Based and Novelty-Based Loss for Music Structure Analysis. ISMIR 2023: 749-756 - [i19]Laure Prétet, Gaël Richard, Clément Souchier, Geoffroy Peeters:
Video-to-Music Recommendation using Temporal Alignment of Segments. CoRR abs/2306.07187 (2023) - [i18]Geoffroy Peeters:
Self-Similarity-Based and Novelty-based loss for music structure analysis. CoRR abs/2309.02243 (2023) - [i17]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective. CoRR abs/2309.02265 (2023) - [i16]Côme Peladeau, Geoffroy Peeters:
Blind estimation of audio effects using an auto-encoder approach and differentiable signal processing. CoRR abs/2310.11781 (2023) - [i15]Aurian Quelennec, Michel Olvera, Geoffroy Peeters, Slim Essid:
On the choice of the optimal temporal support for audio classification with Pre-trained embeddings. CoRR abs/2312.14005 (2023) - [i14]Bernardo Torres, Geoffroy Peeters, Gaël Richard:
Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport. CoRR abs/2312.14507 (2023) - 2022
- [j17]Michael Fell, Yaroslav Nechaev, Gabriel Meseguer-Brocal, Elena Cabrio, Fabien Gandon, Geoffroy Peeters:
Lyrics segmentation via bimodal text-audio representation. Nat. Lang. Eng. 28(3): 317-336 (2022) - [j16]Christof Weiß, Geoffroy Peeters:
Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2814-2827 (2022) - [j15]Polina Proutskova, Daniel Wolff, György Fazekas, Klaus Frieler, Frank Höger, Olga Velichkina, Gabriel Solis, Tillman Weyde, Martin Pfleiderer, Hélène Camille Crayencour, Geoffroy Peeters, Simon Dixon:
The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. J. Web Semant. 74: 100735 (2022) - [c74]Félix Mathieu, Thomas Courtat, Gaël Richard, Geoffroy Peeters:
Phase Shifted Bedrosian Filterbank: An Interpretable Audio Front-End for Time-Domain Audio Source Separation. ICASSP 2022: 531-535 - [c73]Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts. ISMIR 2022: 186-192 - [i13]Christof Weiß, Geoffroy Peeters:
Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation. CoRR abs/2202.09198 (2022) - [i12]Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts. CoRR abs/2211.07250 (2022) - [i11]Geoffroy Peeters, Florian Angulo:
SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss. CoRR abs/2211.08141 (2022) - 2021
- [c72]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Cross-Modal Music-Video Recommendation: A Study of Design Choices. IJCNN 2021: 1-9 - [c71]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Is there a "language of music-video clips" ? A qualitative and quantitative study. ISMIR 2021: 539-546 - [c70]Christof Weiss, Geoffroy Peeters:
Training Deep Pitch-Class Representations With a Multi-Label CTC Loss. ISMIR 2021: 754-761 - [c69]Christof Weiß, Geoffroy Peeters:
Learning Multi-Pitch Estimation from Weakly Aligned Score-Audio Pairs Using a Multi-Label CTC Loss. WASPAA 2021: 121-125 - [p1]Geoffroy Peeters, Gaël Richard:
Deep Learning for Audio and Music. Multi-faceted Deep Learning 2021: 231-266 - [i10]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Cross-Modal Music-Video Recommendation: A Study of Design Choices. CoRR abs/2104.14799 (2021) - [i9]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Is there a "language of music-video clips" ? A qualitative and quantitative study. CoRR abs/2108.00970 (2021) - 2020
- [j14]Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters:
Creating DALI, a Large Dataset of Synchronized Audio, Lyrics, and Notes. Trans. Int. Soc. Music. Inf. Retr. 3(1): 55-67 (2020) - [j13]Arthur Flexer, Florence Levé, Geoffroy Peeters, Julián Urbano:
Introduction to the Special Collection "20th Anniversary of ISMIR". Trans. Int. Soc. Music. Inf. Retr. 3(1): 218-220 (2020) - [c68]Karim M. Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Audio-Based Auto-Tagging With Contextual Tags for Music. ICASSP 2020: 16-20 - [c67]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Learning to Rank Music Tracks Using Triplet Loss. ICASSP 2020: 511-515 - [c66]Guillaume Doras, Geoffroy Peeters:
A Prototypical Triplet Loss for Cover Detection. ICASSP 2020: 3797-3801 - [c65]Guillaume Doras, Furkan Yesiler, Joan Serrà, Emilia Gómez, Geoffroy Peeters:
Combining musical features for cover detection. ISMIR 2020: 279-286 - [c64]Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Should we consider the users in contextual music auto-tagging models?. ISMIR 2020: 295-301 - [c63]Gabriel Meseguer-Brocal, Geoffroy Peeters:
Content based singing voice source separation via strong conditioning using aligned phonemes. ISMIR 2020: 819-827 - [c62]Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Confidence-based Weighted Loss for Multi-label Classification with Missing Labels. ICMR 2020: 291-295 - [i8]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Learning to rank music tracks using triplet loss. CoRR abs/2005.12977 (2020) - [i7]Gabriel Meseguer-Brocal, Geoffroy Peeters:
Content based singing voice source separation via strong conditioning using aligned phonemes. CoRR abs/2008.02070 (2020)
2010 – 2019
- 2019
- [j12]Rémi Mignot, Geoffroy Peeters:
An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task. Trans. Int. Soc. Music. Inf. Retr. 2(1): 97-110 (2019) - [c61]Geoffroy Peeters:
The Deep Learning Revolution in MIR: The Pros and Cons, the Needs and the Challenges. CMMR 2019: 3-30 - [c60]Klaus Frieler, Dogac Basaran, Frank Höger, Hélène Camille Crayencour, Geoffroy Peeters, Simon Dixon:
Don't hide in the frames: Note- and pattern-based evaluation of automated melody extraction algorithms. DLfM 2019: 25-32 - [c59]Alice Cohen-Hadria, Axel Roebel, Geoffroy Peeters:
Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation. EUSIPCO 2019: 1-5 - [c58]Guillaume Doras, Geoffroy Peeters:
Cover Detection Using Dominant Melody Embeddings. ISMIR 2019: 107-114 - [c57]Gabriel Meseguer-Brocal, Geoffroy Peeters:
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations. ISMIR 2019: 159-165 - [c56]Hadrien Foroughmand Aarabi, Geoffroy Peeters:
Deep-Rhythm for Global Tempo Estimation in Music. ISMIR 2019: 636-643 - [e1]Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk:
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019. 2019, ISBN 978-1-7327299-1-9 [contents] - [i6]Alice Cohen-Hadria, Axel Roebel, Geoffroy Peeters:
Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation. CoRR abs/1903.01415 (2019) - [i5]Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters:
DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm. CoRR abs/1906.10606 (2019) - [i4]Gabriel Meseguer-Brocal, Geoffroy Peeters:
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations. CoRR abs/1907.01277 (2019) - [i3]Guillaume Doras, Geoffroy Peeters:
Cover Detection using Dominant Melody Embeddings. CoRR abs/1907.01824 (2019) - [i2]Guillaume Doras, Geoffroy Peeters:
A Prototypical Triplet Loss for Cover Detection. CoRR abs/1910.09862 (2019) - 2018
- [j11]Dominique Fourer, François Auger, Geoffroy Peeters:
Local AM/FM Parameters Estimation: Application to Sinusoidal Modeling and Blind Audio Source Separation. IEEE Signal Process. Lett. 25(10): 1600-1604 (2018) - [c55]Hadrien Foroughmand Aarabi, Geoffroy Peeters:
Music retiler: Using NMF2D source separation for audio mosaicing. Audio Mostly Conference 2018: 27:1-27:7 - [c54]Dominique Fourer, Geoffroy Peeters:
Fast and Adaptive Blind Audio Source Separation Using Recursive Levenberg-Marquardt Synchrosqueezing. ICASSP 2018: 766-770 - [c53]Dogac Basaran, Slim Essid, Geoffroy Peeters:
Main Melody Estimation with Source-Filter NMF and CRNN. ISMIR 2018: 82-89 - [c52]Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters:
DALI: A Large Dataset of Synchronized Audio, Lyrics and notes, Automatically Created using Teacher-student Machine Learning Paradigm.. ISMIR 2018: 431-437 - [i1]Dominique Fourer, Geoffroy Peeters:
Single-Channel Blind Source Separation for Singing Voice Detection: A Comparative Study. CoRR abs/1805.01201 (2018) - 2017
- [j10]Ioannis Kapsouras, Anastasios Tefas, Nikos Nikolaidis, Geoffroy Peeters, Laurent Benaroya, Ioannis Pitas:
Multimodal speaker clustering in full length movies. Multim. Tools Appl. 76(2): 2223-2242 (2017) - [c51]Enrico Marchetto, Geoffroy Peeters:
Automatic Recognition of Sound Categories from Their Vocal Imitation Using Audio Primitives Automatically Found by SI-PLCA and HMM. CMMR 2017: 3-22 - [c50]Dominique Fourer, Geoffroy Peeters:
Objective characterization of audio signal quality: Applications to music collection description. ICASSP 2017: 711-715 - [c49]Alice Cohen-Hadria, Geoffroy Peeters:
Music Structure Boundaries Estimation Using Multiple Self-Similarity Matrices as Input Depth of Convolutional Neural Networks. Semantic Audio 2017 - 2016
- [c48]Ugo Marchand, Geoffroy Peeters:
Scale and shift invariant time/frequency representation using auditory statistics: Application to rhythm description. MLSP 2016: 1-6 - 2014
- [c47]Ugo Marchand, Geoffroy Peeters:
The Modulation Scale Spectrum and its Application to Rhythm-Content Description. DAFx 2014: 167-172 - [c46]Alessio Degani, Riccardo Leonardi, Pierangelo Migliorati, Geoffroy Peeters:
A Pitch Salience Function Derived from Harmonic Frequency Deviations for Polyphonic Music Analysis. DAFx 2014: 195-201 - [c45]Geoffroy Peeters, Victor Bisot:
Improving Music Structure Segmentation using lag-priors. ISMIR 2014: 337-342 - [c44]Ioannis Pitas, Konstantinos Papachristou, Nikos Nikolaidis, Marco Liuni, Laurent Benaroya, Geoffroy Peeters, Axel Röbel, Antje Linnemann, Mohan Liu, Sebastian Gerke:
2D/3D AudioVisual content analysis & description. MMSP 2014: 1-6 - 2013
- [c43]Geoffroy Peeters, Ugo Marchand:
Predicting Agreement and Disagreement in the Perception of Tempo. CMMR 2013: 313-329 - [c42]Florian Kaiser, Geoffroy Peeters:
Multiple hypotheses at multiple scales for audio novelty computation within music. ICASSP 2013: 231-235 - [c41]Johan Pauwels, Geoffroy Peeters:
Evaluating automatically estimated chord sequences. ICASSP 2013: 749-753 - [c40]Mathieu Ramona, Geoffroy Peeters:
AudioPrint: An efficient audio fingerprint system based on a novel cost-less synchronization scheme. ICASSP 2013: 818-822 - [c39]Florian Kaiser, Geoffroy Peeters:
A Simple Fusion Method of State And Sequence Segmentation for Music Structure Discovery. ISMIR 2013: 257-262 - [c38]Johan Pauwels, Florian Kaiser, Geoffroy Peeters:
Combining Harmony-Based and Novelty-Based Approaches for Structural Segmentation. ISMIR 2013: 601-606 - [c37]Cynthia C. S. Liem, Nicola Orio, Geoffroy Peeters, Markus Schedl:
MusiClef 2013: Soundtrack Selection for Commercials. MediaEval 2013 - [c36]Johan Pauwels, Geoffroy Peeters:
Segmenting music through the joint estimation of keys, chords and structural boundaries. ACM Multimedia 2013: 741-744 - [c35]Markus Schedl, Nicola Orio, Cynthia C. S. Liem, Geoffroy Peeters:
A professionally annotated and enriched multimodal data set on popular music. MMSys 2013: 78-83 - [c34]Elie-Laurent Benaroya, Geoffroy Peeters:
A generic classification system for multi-channel audio indexing: Application to speech and music detection. WIAMIS 2013: 1-4 - 2012
- [j9]Mathieu Ramona, Sébastien Fenet, Raphaël Blouet, Hervé Bredin, Thomas Fillon, Geoffroy Peeters:
A Public Audio Identification Evaluation Framework for Broadcast Monitoring. Appl. Artif. Intell. 26(1-2): 119-136 (2012) - [j8]Hélène Papadopoulos, Geoffroy Peeters:
Local Key Estimation From an Audio Signal Relying on Harmonic and Metrical Structures. IEEE Trans. Speech Audio Process. 20(4): 1297-1312 (2012) - [c33]Florian Kaiser, Geoffroy Peeters:
Adaptive Temporal Modeling of Audio Features in the Context of Music Structure Segmentation. Adaptive Multimedia Retrieval 2012: 248-261 - [c32]Nicola Orio, Cynthia C. S. Liem, Geoffroy Peeters, Markus Schedl:
MusiClef: Multimodal Music Tagging Task. CLEF 2012: 36-41 - [c31]Lise Regnier, Geoffroy Peeters:
Singer verification: Singer model .vs. song model. ICASSP 2012: 437-440 - [c30]Geoffroy Peeters, Karën Fort:
Towards a (Better) Definition of the Description of Annotated MIR Corpora. ISMIR 2012: 25-30 - [c29]Justin Salamon, Geoffroy Peeters, Axel Röbel:
Statistical Characterisation of Melodic Pitch Contours and its Application for Melody Extraction. ISMIR 2012: 187-192 - [c28]Geoffroy Peeters, Frédéric Cornu, Christophe Charbuillet, Damien Tardieu, Juan José Burred, Marie Vian, Valérie Botherel, Jean-Bernard Rault, Jean-Philippe Cabanal:
A Multimedia Search and Navigation Prototype, Including Music and Video-clips. ISMIR 2012: 439-444 - [c27]Cynthia C. S. Liem, Nicola Orio, Geoffroy Peeters, Markus Schedl:
Brave New Task: MusiClef Multimodal Music Tagging. MediaEval 2012 - [c26]Geoffroy Peeters, Joachim Flocon-Cholet:
Perceptual tempo estimation using GMM-regression. MIRUM 2012: 45-50 - 2011
- [j7]Hélène Papadopoulos, Geoffroy Peeters:
Joint Estimation of Chords and Downbeats From an Audio Signal. IEEE Trans. Speech Audio Process. 19(1): 138-152 (2011) - [j6]Geoffroy Peeters:
Spectral and Temporal Periodicity Representations of Rhythm for the Automatic Classification of Music Audio Signal. IEEE Trans. Speech Audio Process. 19(5): 1242-1252 (2011) - [j5]Geoffroy Peeters, Hélène Papadopoulos:
Simultaneous Beat and Downbeat-Tracking Using a Probabilistic Framework: Theory and Large-Scale Evaluation. IEEE Trans. Speech Audio Process. 19(6): 1754-1769 (2011) - [j4]Hugues Vinet, Gérard Assayag, Juan José Burred, Grégoire Carpentier, Nicolas Misdariis, Geoffroy Peeters, Axel Roebel, Norbert Schnell, Diemo Schwarz, Damien Tardieu:
Sample Orchestrator : gestion par le contenu d'échantillons sonores. Traitement du Signal 28(3-4): 417-468 (2011) - [c25]François Rigaud, Mathieu Lagrange, Axel Röbel, Geoffroy Peeters:
Drum extraction from polyphonic music based on a spectro-temporal model of percussive sounds. ICASSP 2011: 381-384 - [c24]Mathieu Ramona, Geoffroy Peeters:
Audio identification based on spectral modeling of bark-bands energy and synchronization through onset detection. ICASSP 2011: 477-480 - 2010
- [j3]Geoffroy Peeters, Emmanuel Deruty:
Sound Indexing Using Morphological Description. IEEE Trans. Speech Audio Process. 18(3): 675-687 (2010) - [c23]Christophe Charbuillet, Geoffroy Peeters, Stanislav Barton, Valérie Gouet-Brunet:
A fast algorithm for music search by similarity in large databases based on modified Symetrized Kullback Leibler Divergence. CBMI 2010: 1-6 - [c22]Lise Regnier, Geoffroy Peeters:
Partial clustering using a time-varying frequency model for singing voice detection. ICASSP 2010: 441-444 - [c21]Stanislav Barton, Valérie Gouet-Brunet, Marta Rukoz, Christophe Charbuillet, Geoffroy Peeters:
Estimating the indexability of multimedia descriptors for similarity searching. RIAO 2010: 84-87
2000 – 2009
- 2009
- [c20]Lise Regnier, Geoffroy Peeters:
Singing voice detection in music tracks using direct voice vibrato detection. ICASSP 2009: 1685-1688 - [c19]Norbert Schnell, Axel Röbel, Diemo Schwarz, Geoffroy Peeters, Riccardo Borghesi:
MuBu and Friends - Assembling Tools for Content Based Real-Time Interactive Audio Processing in Max/MSP. ICMC 2009 - 2008
- [c18]Hélène Papadopoulos, Geoffroy Peeters:
Simultaneous estimation of chord progression and downbeats from an audio file. ICASSP 2008: 121-124 - [c17]Geoffroy Peeters, David Fenech, Xavier Rodet:
MCIpa: A Music Content Information Player and Annotator for Discovering Music. ISMIR 2008: 243-248 - [c16]Juan José Burred, Carmine-Emanuele Cella, Geoffroy Peeters, Axel Röbel, Diemo Schwarz:
Using the SDIF Sound Description Interchange Format for Audio Features. ISMIR 2008: 427-432 - 2007
- [j2]Geoffroy Peeters:
Template-Based Estimation of Time-Varying Tempo. EURASIP J. Adv. Signal Process. 2007 (2007) - [c15]Hélène Papadopoulos, Geoffroy Peeters:
Large-Scale Study of Chord Estimation Algorithms Based on Chroma Representation and HMM. CBMI 2007: 53-60 - [c14]Geoffroy Peeters:
Sequence Representation of Music Structure Using Higher-Order Similarity Matrix and Maximum-Likelihood Approach. ISMIR 2007: 35-40 - 2006
- [c13]Geoffroy Peeters:
Music Pitch Representation by Periodicity Measures Based on Combined Temporal and Spectral Representations. ICASSP (5) 2006: 53-56 - [c12]Geoffroy Peeters:
Chroma-based estimation of musical key from audio-signal analysis. ISMIR 2006: 115-120 - 2005
- [c11]Geoffroy Peeters:
Time variable Tempo Detection and beat Marking. ICMC 2005 - [c10]Geoffroy Peeters:
Rhythm Classification Using Spectral Rhythm Patterns. ISMIR 2005: 644-647 - 2003
- [c9]Geoffroy Peeters:
Deriving Musical Structures from Signal Analysis for Music Audio Summary Generation: "Sequence" and "State" Approach. CMMR 2003: 143-166 - [c8]Arie Livshin, Geoffroy Peeters, Xavier Rodet:
Studies and Improvements in Automatic Classification of Musical Sound Samples. ICMC 2003 - [c7]Geoffroy Peeters, Xavier Rodet:
Signal-based Music Structure Discovery for Music Audio Summary Generation. ICMC 2003 - 2002
- [c6]Geoffroy Peeters, Xavier Rodet:
Automatically selecting signal descriptors for SoundClassification. ICMC 2002 - [c5]Geoffroy Peeters, Amaury La Burthe, Xavier Rodet:
Toward Automatic Music Audio Summary Generation from Signal Analysis. ISMIR 2002 - 2000
- [c4]Geoffroy Peeters, Stephen McAdams, Perfecto Herrera:
Instrument Sound Description in the Context of MPEG-7. ICMC 2000 - [c3]Norbert Schnell, Geoffroy Peeters, Serge Lemouton, Phillippe Manoury, Xavier Rodet:
Synthesizing a choir in real-time using Pitch Synchronous Overlap Add (PSOLA). ICMC 2000
1990 – 1999
- 1999
- [c2]Perfecto Herrera, Xavier Serra, Geoffroy Peeters:
Audio Descriptors and Descriptor Schemes in the Context of MPEG-7. ICMC 1999 - [c1]Geoffroy Peeters, Xavier Rodet:
SINOLA: A New Analysis/Synthesis Method using Spectrum Peak Shape Distortion, Phase and Reassigned Spectrum. ICMC 1999 - 1997
- [j1]Geoffroy Peeters, Frank Silvio Marzano, Giovanni D'Auria, Carlo Riva, Danielle Vanhoenacker-Janvier:
Evaluation of Statistical Models for Clear-Air scintillation Prediction Using Olympus Satellite Measurements. Int. J. Satell. Commun. Netw. 15(2): 73-88 (1997)
Coauthor Index
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