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ORCIDAxel Röbel
Axel Roebel
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- affiliation: IRCAM, Centre Pompidou, Paris, France
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2020 – today
- 2024
[c72]Théo Nguyen, Yann Teytaut, Axel Roebel:
On Strategies to Exploit Dependencies Between Singing Voice Alignment and Separation. EUSIPCO 2024: 366-370- [i24]Théodor Lemerle, Nicolas Obin, Axel Roebel:
Small-E: Small Language Model with Linear Attention for Efficient Speech Synthesis. CoRR abs/2406.04467 (2024) - [i23]Simon Rouard, Yossi Adi, Jade Copet, Axel Roebel, Alexandre Défossez:
Audio Conditioning for Music Generation via Discrete Bottleneck Features. CoRR abs/2407.12563 (2024) - 2023
- [j22]Laurent Benaroya
, Nicolas Obin, Axel Roebel:
Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations. Entropy 25(2): 375 (2023) - [c71]Frederik Bous, Axel Roebel:
Analysis and Transformation of Voice Level in Singing Voice. ICASSP 2023: 1-5 - [i22]Frederik Bous, Axel Roebel:
VaSAB: The variable size adaptive information bottleneck for disentanglement on speech and singing voice. CoRR abs/2310.03444 (2023) - [i21]Giovanni Bindi, Nils Demerlé, Rodrigo Diaz, David Genova, Aliénor Golvet, Ben Hayes, Jiawen Huang, Lele Liu, Vincent Martos, Sarah Nabi, Teresa Pelinski, Lenny Renault, Saurjya Sarkar, Pedro Sarmento, Cyrus Vahidi, Lewis Wolstanholme, Yixiao Zhang, Axel Roebel, Nick Bryan-Kinns, Jean-Louis Giavitto, Mathieu Barthet:
AI (r)evolution - where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning. CoRR abs/2310.18320 (2023) - 2022
- [j21]Frederik Bous, Axel Roebel:
A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice. Inf. 13(3): 102 (2022) - [j20]Axel Roebel, Frederik Bous:
Neural Vocoding for Singing and Speaking Voices with the Multi-Band Excited WaveNet. Inf. 13(3): 103 (2022) - [c70]Antoine Lavault, Axel Roebel, Matthieu Voiry:
StyleWaveGAN: Style-based synthesis of drum sounds using generative adversarial networks for higher audio quality. EUSIPCO 2022: 234-238 - [c69]Frederik Bous, Laurent Benaroya, Nicolas Obin, Axel Roebel:
Voice Reenactment with F0 and timing constraints and adversarial learning of conversions. EUSIPCO 2022: 389-393 - [c68]Léane Salais, Pablo Arias, Clément Le Moine, Victor Rosi, Yann Teytaut, Nicolas Obin, Axel Roebel:
Production Strategies of Vocal Attitudes. INTERSPEECH 2022: 4985-4989 - [c67]Yann Teytaut, Baptiste Bouvier, Axel Roebel:
A study on constraining Connectionist Temporal Classification for temporal audio alignment. INTERSPEECH 2022: 5015-5019 - [i20]Daniel Wolff, Rémi Mignot, Axel Roebel:
Audio Defect Detection in Music with Deep Networks. CoRR abs/2202.05718 (2022) - [i19]Antoine Lavault, Axel Roebel, Matthieu Voiry:
StyleWaveGAN: Style-based synthesis of drum sounds with extensive controls using generative adversarial networks. CoRR abs/2204.00907 (2022) - [i18]Frederik Bous, Axel Roebel:
Analysis and transformations of intensity in singing voice. CoRR abs/2204.04006 (2022) - 2021
- [c66]Clément Le Moine, Nicolas Obin, Axel Roebel:
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels. EUSIPCO 2021: 36-40 - [c65]Yann Teytaut, Axel Roebel:
Phoneme-to-Audio Alignment with Recurrent Neural Networks for Speaking and Singing Voice. Interspeech 2021: 61-65 - [c64]Clément Le Moine, Nicolas Obin, Axel Roebel:
Speaker Attentive Speech Emotion Recognition. Interspeech 2021: 2866-2870 - [c63]Daniel Wolff, Rémi Mignot, Axel Roebel:
Audio Defect Detection in Music with Deep Networks. ISMIR 2021: 762-768 - [i17]Clément Le Moine Veillon, Nicolas Obin, Axel Roebel:
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels. CoRR abs/2104.07283 (2021) - [i16]Clément Le Moine, Nicolas Obin, Axel Roebel:
Speaker Attentive Speech Emotion Recognition. CoRR abs/2104.07288 (2021) - [i15]Laurent Benaroya, Nicolas Obin, Axel Roebel:
Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations. CoRR abs/2107.12346 (2021) - [i14]Axel Roebel, Frederik Bous:
Towards Universal Neural Vocoding with a Multi-band Excited WaveNet. CoRR abs/2110.03329 (2021) - [i13]Frederik Bous, Laurent Benaroya, Nicolas Obin, Axel Roebel:
Sequence-To-Sequence Voice Conversion using F0 and Time Conditioning and Adversarial Learning. CoRR abs/2110.03744 (2021) - 2020
- [j19]Pablo Arias, Catherine Soladié, Oussema Bouafif, Axel Roebel, Renaud Séguier, Jean-Julien Aucouturier:
Realistic Transformation of Facial and Vocal Smiles in Real-Time Audiovisual Streams. IEEE Trans. Affect. Comput. 11(3): 507-518 (2020) - [c62]Frederik Bous, Luc Ardaillon, Axel Roebel:
Semi-supervised learning of glottal pulse positions in a neural analysis-synthesis framework. EUSIPCO 2020: 401-405 - [c61]Rafael Ferro, Nicolas Obin, Axel Roebel:
CycleGAN Voice Conversion of Spectral Envelopes using Adversarial Weights. EUSIPCO 2020: 406-410 - [c60]Hugo Caracalla, Axel Roebel:
Sound Texture Synthesis Using RI Spectrograms. ICASSP 2020: 416-420 - [c59]Luc Ardaillon, Axel Roebel:
GCI Detection from Raw Speech Using a Fully-Convolutional Network. ICASSP 2020: 6739-6743 - [c58]Mathias Quillot, Lauriane Guillou, Adrien Gresse, Rafaël Ferro, Raphaël Roth, Damien Malinas, Richard Dufour, Axel Roebel, Nicolas Obin, Jean-François Bonastre, Emmanuel Ethis:
La voix actée : pratiques, enjeux, applications (Acted voice : practices, challenges, applications). JEP-TALN-RECITAL (1) 2020: 525-533 - [i12]Frederik Bous, Luc Ardaillon, Axel Roebel:
Semi-supervised learning of glottal pulse positions in a neural analysis-synthesis framework. CoRR abs/2003.01220 (2020)
2010 – 2019
- 2019
- [c57]Frederik Bous, Axel Roebel:
Analysing Deep Learning-Spectral Envelope Prediction Methods for Singing Synthesis. EUSIPCO 2019: 1-5 - [c56]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 - [c55]Céline Jacques, Axel Röbel:
Data Augmentation for Drum Transcription with Convolutional Neural Networks. EUSIPCO 2019: 1-5 - [c54]Carl Robinson, Nicolas Obin, Axel Roebel:
Sequence-to-sequence Modelling of F0 for Speech Emotion Conversion. ICASSP 2019: 6830-6834 - [c53]Luc Ardaillon, Axel Roebel:
Fully-Convolutional Network for Pitch Estimation of Speech Signals. INTERSPEECH 2019: 2005-2009 - [i11]Frederik Bous, Axel Roebel:
Analysing Deep Learning-Spectral Envelope Prediction Methods for Singing Synthesis. CoRR abs/1903.01161 (2019) - [i10]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) - [i9]Céline Jacques, Axel Roebel:
Data Augmentation for Drum Transcription with Convolutional Neural Networks. CoRR abs/1903.01416 (2019) - [i8]Hugo Caracalla, Axel Roebel:
Sound texture synthesis using convolutional neural networks. CoRR abs/1905.03637 (2019) - [i7]Hugo Caracalla, Axel Roebel:
Sound texture synthesis using RI spectrograms. CoRR abs/1910.09497 (2019) - [i6]Rafael Ferro, Nicolas Obin, Axel Roebel:
SoftGAN: Learning generative models efficiently with application to CycleGAN Voice Conversion. CoRR abs/1910.12614 (2019) - 2018
- [j18]Elie-Laurent Benaroya, Nicolas Obin, Marco Liuni, Axel Roebel, Wilson Raumel, Sylvain Argentieri:
Binaural Localization of Multiple Sound Sources by Non-Negative Tensor Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 26(6): 1068-1078 (2018) - 2017
- [c52]Luc Ardaillon, Axel Roebel:
A Mouth Opening Effect Based on Pole Modification for Expressive Singing Voice Transformation. INTERSPEECH 2017: 1288-1292 - 2016
- [j17]Seán O'Leary, Axel Röbel:
A Montage Approach to Sound Texture Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 24(6): 1094-1105 (2016) - [j16]Gilles Degottex, Luc Ardaillon, Axel Roebel:
Multi-Frame Amplitude Envelope Estimation for Modification of Singing Voice. IEEE ACM Trans. Audio Speech Lang. Process. 24(7): 1242-1254 (2016) - [j15]Nicolas Obin, Axel Roebel:
Similarity Search of Acted Voices for Automatic Voice Casting. IEEE ACM Trans. Audio Speech Lang. Process. 24(9): 1642-1651 (2016) - [j14]Grégoire Lafay, Mathieu Lagrange, Mathias Rossignol, Emmanouil Benetos, Axel Roebel:
A Morphological Model for Simulating Acoustic Scenes and Its Application to Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1854-1864 (2016) - [c51]Damien Bouvier, Nicolas Obin, Marco Liuni, Axel Roebel:
A source/filter model with adaptive constraints for NMF-based speech separation. ICASSP 2016: 131-135 - [c50]Gilles Degottex, Luc Ardaillon, Axel Roebel:
Simple multi frame analysis methods for estimation of amplitude spectral envelope estimation in singing voice. ICASSP 2016: 4975-4979 - [c49]Lionel Feugère, Christophe d'Alessandro, Samuel Delalez, Luc Ardaillon, Axel Roebel:
Evaluation of Singing Synthesis: Methodology and Case Study with Concatenative and Performative Systems. INTERSPEECH 2016: 1245-1249 - [c48]Luc Ardaillon, Celine Chabot-Canet, Axel Roebel:
Expressive Control of Singing Voice Synthesis Using Musical Contexts and a Parametric F0 Model. INTERSPEECH 2016: 1250-1254 - 2015
- [c47]Axel Roebel, Jordi Pons, Marco Liuni, Mathieu Lagrange:
On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence. ICASSP 2015: 414-418 - [c46]Yu-Ren Chien, Axel Röbel:
One-formant vocal tract modeling for glottal pulse shape estimation. ICASSP 2015: 4345-4349 - [c45]Xavier Favory, Nicolas Obin, Gilles Degottex, Axel Roebel:
The role of glottal source parameters for high-quality transformation of perceptual age. ICASSP 2015: 4894-4898 - [c44]Stefan Huber, Axel Roebel:
On glottal source shape parameter transformation using a novel deterministic and stochastic speech analysis and synthesis system. INTERSPEECH 2015: 289-293 - [c43]Luc Ardaillon, Gilles Degottex, Axel Roebel:
A multi-layer F0 model for singing voice synthesis using a b-spline representation with intuitive controls. INTERSPEECH 2015: 3375-3379 - [i5]Mathieu Lagrange, Grégoire Lafay, Mathias Rossignol, Emmanouil Benetos, Axel Roebel:
An evaluation framework for event detection using a morphological model of acoustic scenes. CoRR abs/1502.00141 (2015) - 2014
- [j13]Stefan Huber, Axel Röbel:
On the use of voice descriptors for glottal source shape parameter estimation. Comput. Speech Lang. 28(5): 1170-1194 (2014) - [j12]Yuki Mitsufuji, Axel Roebel:
On the use of a spatial cue as prior information for stereo sound source separation based on spatially weighted non-negative tensor factorization. EURASIP J. Adv. Signal Process. 2014: 40 (2014) - [c42]Seán O'Leary, Axel Röbel:
A Two Level Montage Approach to Sound Texture Synthesis with Treatment of Unique Events. DAFx 2014: 123-128 - [c41]Seán O'Leary, Axel Röbel:
A montage approach to sound texture synthesis. EUSIPCO 2014: 939-943 - [c40]Nicolas Obin, Axel Roebel, Grégoire Bachman:
On automatic voice casting for expressive speech: Speaker recognition vs. speech classification. ICASSP 2014: 950-954 - [c39]Yuki Mitsufuji, Marco Liuni, Alex Baker, Axel Roebel:
Online NON-negative Tensor Deconvolution for source detection in 3DTV audio. ICASSP 2014: 3082-3086 - [c38]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
- [b2]Axel Roebel:
Spectral domain analysis, modelling and transformation of sound. (Analyse, modelisation et transformation des sons). Pierre and Marie Curie University, Paris, France, 2013 - [j11]Gilles Degottex, Pierre Lanchantin, Axel Röbel, Xavier Rodet:
Mixed source model and its adapted vocal tract filter estimate for voice transformation and synthesis. Speech Commun. 55(2): 278-294 (2013) - [j10]Marco Liuni, Axel Röbel, Ewa Matusiak, Marco Romito, Xavier Rodet:
Automatic Adaptation of the Time-Frequency Resolution for Sound Analysis and Re-Synthesis. IEEE Trans. Speech Audio Process. 21(5): 959-970 (2013) - [c37]Yuki Mitsufuji, Axel Roebel:
Sound source separation based on non-negative tensor factorization incorporating spatial cue as prior knowledge. ICASSP 2013: 71-75 - [c36]Nicolas Obin, Francois Lamare, Axel Roebel:
Syll-O-Matic: An adaptive time-frequency representation for the automatic segmentation of speech into syllables. ICASSP 2013: 6699-6703 - 2012
- [c35]Axel Röbel, Stefan Huber, Xavier Rodet, Gilles Degottex:
Analysis and modification of excitation source characteristics for singing voice synthesis. ICASSP 2012: 5381-5384 - [c34]Stefan Huber, Axel Röbel, Gilles Degottex:
Glottal source shape parameter estimation using phase minimization variants. INTERSPEECH 2012: 1644-1647 - [c33]Justin Salamon, Geoffroy Peeters, Axel Röbel:
Statistical Characterisation of Melodic Pitch Contours and its Application for Melody Extraction. ISMIR 2012: 187-192 - 2011
- [j9]Gilles Degottex, Axel Röbel, Xavier Rodet:
Phase Minimization for Glottal Model Estimation. IEEE Trans. Speech Audio Process. 19(5): 1080-1090 (2011) - [j8]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) - [c32]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 - [c31]Marco Liuni, Axel Röbel, Marco Romito, Xavier Rodet:
Rényi information measures for spectral change detection. ICASSP 2011: 3824-3827 - [c30]Gilles Degottex, Axel Röbel, Xavier Rodet:
Function of Phase-Distortion for glottal model estimation. ICASSP 2011: 4608-4611 - [c29]Gilles Degottex, Axel Röbel, Xavier Rodet:
Pitch transposition and breathiness modification using a glottal source model and its adapted vocal-tract filter. ICASSP 2011: 5128-5131 - [i4]Marco Liuni, Axel Röbel, Marco Romito, Xavier Rodet:
Rényi Information Measures for Spectral Change Detection. CoRR abs/1109.5876 (2011) - [i3]Marco Liuni, Axel Röbel, Marco Romito, Xavier Rodet:
A Reduced Multiple Gabor Frame for Local Time Adaptation of the Spectrogram. CoRR abs/1109.6313 (2011) - [i2]Marco Liuni, Axel Röbel, Marco Romito, Xavier Rodet:
An Entropy Based Method for Local Time-Adaptation of the Spectrogram. CoRR abs/1109.6314 (2011) - [i1]Marco Liuni, Péter Balázs, Axel Röbel:
Sound Analysis and Synthesis Adaptive in Time and Two Frequency Bands. CoRR abs/1109.6651 (2011) - 2010
- [j7]Juan José Burred, Axel Röbel, Thomas Sikora:
Dynamic Spectral Envelope Modeling for Timbre Analysis of Musical Instrument Sounds. IEEE Trans. Speech Audio Process. 18(3): 663-674 (2010) - [j6]Chunghsin Yeh, Axel Röbel, Xavier Rodet:
Multiple Fundamental Frequency Estimation and Polyphony Inference of Polyphonic Music Signals. IEEE Trans. Speech Audio Process. 18(6): 1116-1126 (2010) - [c28]Marco Liuni, Axel Röbel, Marco Romito, Xavier Rodet:
An Entropy Based Method for Local Time-Adaptation of the Spectrogram. CMMR 2010: 60-75 - [c27]Gilles Degottex, Axel Röbel, Xavier Rodet:
Joint estimate of shape and time-synchronization of a glottal source model by phase flatness. ICASSP 2010: 5058-5061 - [c26]Axel Röbel:
Shape-invariant speech transformation with the phase vocoder. INTERSPEECH 2010: 2146-2149
2000 – 2009
- 2009
- [c25]Juan José Burred, Axel Röbel, Thomas Sikora:
Polyphonic musical instrument recognition based on a dynamic model of the spectral envelope. ICASSP 2009: 173-176 - [c24]Chunghsin Yeh, Axel Röbel:
The expected amplitude of overlapping partials of harmonic sounds. ICASSP 2009: 3169-3172 - [c23]Fernando Villavicencio, Axel Röbel, Xavier Rodet:
Applying improved spectral modeling for High Quality voice conversion. ICASSP 2009: 4285-4288 - [c22]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
- [j5]Miroslav Zivanovic, Axel Röbel, Xavier Rodet:
Adaptive Threshold Determination for Spectral Peak Classification. Comput. Music. J. 32(2): 57-67 (2008) - [j4]Axel Röbel:
Frequency-Slope Estimation and Its Application to Parameter Estimation for Non-Stationary Sinusoids. Comput. Music. J. 32(2): 68-79 (2008) - [c21]Fernando Villavicencio, Axel Röbel, Xavier Rodet:
Extending efficient spectral envelope modeling to Mel-frequency based representation. ICASSP 2008: 1625-1628 - [c20]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
- [j3]Axel Röbel, Fernando Villavicencio, Xavier Rodet:
On cepstral and all-pole based spectral envelope modeling with unknown model order. Pattern Recognit. Lett. 28(11): 1343-1350 (2007) - [c19]Fernando Villavicencio, Axel Röbel, Xavier Rodet:
All-Pole Spectral Envelope Modelling with Order Selection for Harmonic Signals. ICASSP (1) 2007: 49-51 - [c18]Axel Röbel, Joshua Fineberg:
Speech to chant transformation with the phase vocoder. INTERSPEECH 2007: 4007-4008 - [c17]Chunghsin Yeh, Niels Bogaards, Axel Röbel:
Synthesized Polyphonic Music Database with Verifiable Ground Truth for Multiple F0 Estimation. ISMIR 2007: 393-398 - [c16]Axel Röbel:
Parameter estimation for linear AM/FM sinusoids using frequency domain demodulation. SIP 2007: 162-166 - 2006
- [j2]Axel Röbel:
Adaptive additive modeling with continuous parameter trajectories. IEEE Trans. Speech Audio Process. 14(4): 1440-1453 (2006) - [c15]Fernando Villavicencio, Axel Röbel, Xavier Rodet:
Improving Lpc Spectral Envelope Extraction Of Voiced Speech By True-Envelope Estimation. ICASSP (1) 2006: 869-872 - [c14]Axel Roebel:
Estimation of partial parameters for non stationary sinusoids. ICMC 2006 - 2005
- [c13]Chunghsin Yeh, Axel Röbel, Xavier Rodet:
Multiple fundamental frequency estimation of polyphonic music signals. ICASSP (3) 2005: 225-228 - [c12]Axel Röbel, Xavier Rodet:
Real Time signal Transposition with envelope Preservation in the phase vocoder. ICMC 2005 - 2004
- [c11]Miroslav Zivanovic, Axel Röbel, Xavier Rodet:
A new approach to spectral peak classification. EUSIPCO 2004: 1277-1280 - [c10]Niels Bogaards, Axel Röbel, Xavier Rodet:
Sound Analysis and Processing with AudioSculpt 2. ICMC 2004 - [c9]Axel Roebel, Miroslav Zivanovic, Xavier Rodet:
Signal decomposition by means of classification of spectral peaks. ICMC 2004 - [c8]Chunghsin Yeh, Axel Röbel:
Physical principles driven joint evaluation of multiple f0 hypotheses. SAPA@INTERSPEECH 2004: 109 - 2003
- [c7]Axel Röbel:
Transient detection and preservation in the phase vocoder. ICMC 2003 - 2002
- [c6]Axel Röbel:
Estimating partial frequency and frequency slope using reassignment operators. ICMC 2002 - 2001
- [j1]Axel Röbel:
Synthesizing Natural Sounds Using Dynamic Models of Sound Attractors. Comput. Music. J. 25(2): 46-61 (2001) - [c5]Axel Röbel:
Adaptive additive synthesis using spline based parameter trajectory models. ICMC 2001
1990 – 1999
- 1999
- [c4]Axel Röbel:
Adaptive Additive Synthesis of Sound. ICMC 1999 - 1996
- [c3]Axel Röbel:
Neural Network Modeling of Speech and Music Signals. NIPS 1996: 779-785 - 1995
- [c2]Axel Röbel:
Neural Networks for Modeling Time Series of Musical Instruments. ICMC 1995 - 1994
- [c1]Axel Röbel:
Dynamic pattern selection for faster learning and controlled generalization of neural networks. ESANN 1994 - 1993
- [b1]Axel Röbel:
Neuronale Modelle nichtlinearer dynamischer Systeme mit Anwendung auf Musiksignale. Technical University of Berlin, Germany, 1993, pp. 1-105
Coauthor Index
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