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2020 – today
- 2025
[j21]Salah Zaiem
, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech self-supervised representations benchmarking: A case for larger probing heads. Comput. Speech Lang. 89: 101695 (2025)- 2024
- [j20]Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2141-2152 (2024) - [c95]Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière:
Collaborating Foundation Models for Domain Generalized Semantic Segmentation. CVPR 2024: 3108-3119 - [c94]Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid:
A Lightweight Dual-Stage Framework for Personalized Speech Enhancement Based on Deepfilternet2. ICASSP Workshops 2024: 780-784 - [c93]Antonin Gagneré, Slim Essid, Geoffroy Peeters:
Adapting Pitch-Based Self Supervised Learning Models for Tempo Estimation. ICASSP 2024: 956-960 - [c92]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 - [c91]Elio Gruttadauria, Mathieu Fontaine, Slim Essid:
Online Speaker Diarization of Meetings Guided by Speech Separation. ICASSP 2024: 11356-11360 - [c90]Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez:
Winner-takes-all learners are geometry-aware conditional density estimators. ICML 2024 - [i26]Elio Gruttadauria, Mathieu Fontaine, Slim Essid:
Online speaker diarization of meetings guided by speech separation. CoRR abs/2402.00067 (2024) - [i25]Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid:
A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2. CoRR abs/2404.08022 (2024) - [i24]Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez:
Winner-takes-all learners are geometry-aware conditional density estimators. CoRR abs/2406.04706 (2024) - [i23]Salah Zaiem, Titouan Parcollet, Slim Essid:
Less Forgetting for Better Generalization: Exploring Continual-learning Fine-tuning Methods for Speech Self-supervised Representations. CoRR abs/2407.00756 (2024) - [i22]David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickaël Chen, Slim Essid, Gaël Richard:
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. CoRR abs/2407.15580 (2024) - 2023
- [c89]Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière:
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models. CVPR Workshops 2023: 698-708 - [c88]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 - [c87]Salah Zaiem, Robin Algayres, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Fine-Tuning Strategies for Faster Inference Using Speech Self-Supervised Models: A Comparative Study. ICASSP Workshops 2023: 1-5 - [c86]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations. INTERSPEECH 2023: 67-71 - [c85]Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech Self-Supervised Representation Benchmarking: Are We Doing it Right? INTERSPEECH 2023: 2873-2877 - [c84]Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
A Repetition-Based Triplet Mining Approach for Music Segmentation. ISMIR 2023: 417-424 - [c83]Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard:
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. NeurIPS 2023 - [i21]Salah Zaiem, Robin Algayres, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study. CoRR abs/2303.06740 (2023) - [i20]Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière:
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models. CoRR abs/2303.18080 (2023) - [i19]Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech Self-Supervised Representation Benchmarking: Are We Doing it Right? CoRR abs/2306.00452 (2023) - [i18]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations. CoRR abs/2306.00481 (2023) - [i17]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays. CoRR abs/2307.16582 (2023) - [i16]Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads. CoRR abs/2308.14456 (2023) - [i15]Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard:
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. CoRR abs/2311.01052 (2023) - [i14]Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière:
Collaborating Foundation models for Domain Generalized Semantic Segmentation. CoRR abs/2312.09788 (2023) - [i13]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) - 2022
- [j19]Salah Zaiem, Titouan Parcollet, Slim Essid, Abdelwahab Heba:
Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning. IEEE J. Sel. Top. Signal Process. 16(6): 1439-1453 (2022) - [c82]David Perera, Slim Essid, Gaël Richard:
Latent and Adversarial Data Augmentations for Sound Event Detection and Classification. DCASE 2022 - [c81]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning. INTERSPEECH 2022: 669-673 - [c80]Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. ISMIR 2022: 591-597 - [c79]Valentin Barrière, Slim Essid, Chloé Clavel:
Opinions in Interactions : New Annotations of the SEMAINE Database. LREC 2022: 7049-7055 - [i12]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning. CoRR abs/2204.04170 (2022) - 2021
- [j18]Atef Ben Youssef, Chloé Clavel, Slim Essid:
Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction. IEEE Trans. Affect. Comput. 12(3): 776-787 (2021) - [j17]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2310-2323 (2021) - [c78]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes. EUSIPCO 2021: 1095-1099 - [c77]Giorgia Cantisani, Slim Essid, Gaël Richard:
Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF. ICASSP 2021: 36-40 - [c76]Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
Distributed Speech Separation in Spatially Unconstrained Microphone Arrays. ICASSP 2021: 4490-4494 - [c75]Salah Zaiem, Titouan Parcollet, Slim Essid:
Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning. Interspeech 2021: 2851-2855 - [c74]Giorgia Cantisani, Alexey Ozerov, Slim Essid, Gaël Richard:
User-Guided One-Shot Deep Model Adaptation for Music Source Separation. WASPAA 2021: 111-115 - [i11]Salah Zaiem, Titouan Parcollet, Slim Essid:
Conditional independence for pretext task selection in Self-supervised speech representation learning. CoRR abs/2104.07388 (2021) - [i10]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes. CoRR abs/2106.07939 (2021) - [i9]Salah Zaiem, Titouan Parcollet, Slim Essid:
Pretext Tasks selection for multitask self-supervised speech representation learning. CoRR abs/2107.00594 (2021) - 2020
- [j16]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Audio-Visual Scene Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 28: 416-428 (2020) - [c73]Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
DNN-based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays. ICASSP 2020: 4672-4676 - [i8]Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
DNN-Based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays. CoRR abs/2002.06016 (2020) - [i7]Atef Ben Youssef, Giovanna Varni, Slim Essid, Chloé Clavel:
On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019. CoRR abs/2004.09596 (2020)
2010 – 2019
- 2019
- [j15]Atef Ben Youssef, Giovanna Varni, Slim Essid, Chloé Clavel:
On-the-Fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction Using Recurrent and Deep Neural Networks. Int. J. Soc. Robotics 11(5): 815-828 (2019) - [j14]Zhiyao Duan, Slim Essid, Cynthia C. S. Liem, Gaël Richard, Gaurav Sharma:
Audiovisual Analysis of Music Performances: Overview of an Emerging Field. IEEE Signal Process. Mag. 36(1): 63-73 (2019) - [c72]Alexandre Garcia, Pierre Colombo, Florence d'Alché-Buc, Slim Essid, Chloé Clavel:
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. EMNLP/IJCNLP (1) 2019: 5538-5547 - [c71]Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello:
A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning. ICASSP 2019: 481-485 - [c70]Magdalena Fuentes, Lucas Maia, Martín Rocamora, Luiz W. P. Biscainho, Hélène Camille Crayencour, Slim Essid, Juan Pablo Bello:
Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning. ISMIR 2019: 251-258 - [c69]Lucas Maia, Magdalena Fuentes, Luiz W. P. Biscainho, Martín Rocamora, Slim Essid:
SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis. ISMIR 2019: 628-635 - [c68]Giorgia Cantisani, Gabriel Trégoat, Slim Essid, Gaël Richard:
MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music. SMM 2019 - [c67]Giorgia Cantisani, Slim Essid, Gaël Richard:
EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music. WASPAA 2019: 80-84 - [c66]Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections Using Weak Supervision. WASPAA 2019: 268-272 - [i6]Alexandre Garcia, Slim Essid, Florence d'Alché-Buc, Chloé Clavel:
A multimodal movie review corpus for fine-grained opinion mining. CoRR abs/1902.10102 (2019) - [i5]Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d'Alché-Buc, Chloé Clavel:
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. CoRR abs/1908.11216 (2019) - 2018
- [j13]Kah Jun Hong, Slim Essid, Wee Ser, David Chee-Guan Foo:
A robust audio classification system for detecting pulmonary edema. Biomed. Signal Process. Control. 46: 94-103 (2018) - [c65]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CVPR Workshops 2018: 2518-2519 - [c64]Ayoub Hajlaoui, Mohamed Chetouani, Slim Essid:
Multi-task Feature Learning for EEG-based Emotion Recognition Using Group Nonnegative Matrix Factorization. EUSIPCO 2018: 91-95 - [c63]Jean-Baptiste Schiratti, Jean-Eudes Le Douget, Michel Le Van Quyen, Slim Essid, Alexandre Gramfort:
An Ensemble Learning Approach to Detect Epileptic Seizures from Long Intracranial EEG Recordings. ICASSP 2018: 856-860 - [c62]Valentin Barrière, Chloé Clavel, Slim Essid:
Attitude Classification in Adjacency Pairs of a Human-Agent Interaction with Hidden Conditional Random Fields. ICASSP 2018: 4949-4953 - [c61]Alexandre Garcia, Chloé Clavel, Slim Essid, Florence d'Alché-Buc:
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction. ICML 2018: 1681-1689 - [c60]Dogac Basaran, Slim Essid, Geoffroy Peeters:
Main Melody Estimation with Source-Filter NMF and CRNN. ISMIR 2018: 82-89 - [c59]Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello:
Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking. ISMIR 2018: 106-112 - [i4]Alexandre Garcia, Slim Essid, Chloé Clavel, Florence d'Alché-Buc:
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction. CoRR abs/1803.08355 (2018) - [i3]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CoRR abs/1804.07345 (2018) - [i2]Valentin Barrière, Chloé Clavel, Slim Essid:
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields. CoRR abs/1806.07787 (2018) - [i1]Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision. CoRR abs/1811.04000 (2018) - 2017
- [j12]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Feature Learning With Matrix Factorization Applied to Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1216-1229 (2017) - [c58]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Nonnegative Feature Learning Methods for Acoustic Scene Classification. DCASE 2017: 22-26 - [c57]Anne-Claire Conneau, Ayoub Hajlaoui, Mohamed Chetouani, Slim Essid:
EMOEEG: A new multimodal dataset for dynamic EEG-based emotion recognition with audiovisual elicitation. EUSIPCO 2017: 738-742 - [c56]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Motion informed audio source separation. ICASSP 2017: 6-10 - [c55]Victor Bisot, Slim Essid, Gaël Richard:
Overlapping sound event detection with supervised Nonnegative Matrix Factorization. ICASSP 2017: 31-35 - [c54]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Supervised group nonnegative matrix factorisation with similarity constraints and applications to speaker identification. ICASSP 2017: 36-40 - [c53]Atef Ben Youssef, Chloé Clavel, Slim Essid, Miriam Bilac, Marine Chamoux, Angelica Lim:
UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions. ICMI 2017: 464-472 - [c52]Valentin Barrière, Chloé Clavel, Slim Essid:
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields. INTERSPEECH 2017: 1457-1461 - [c51]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Leveraging deep neural networks with nonnegative representations for improved environmental sound classification. MLSP 2017: 1-6 - [c50]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Guiding audio source separation by video object information. WASPAA 2017: 61-65 - 2016
- [c49]Romain Serizel, Slim Essid, Gaël Richard:
Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification. ICASSP 2016: 5470-5474 - [c48]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Acoustic scene classification with matrix factorization for unsupervised feature learning. ICASSP 2016: 6445-6449 - [c47]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Machine listening techniques as a complement to video image analysis in forensics. ICIP 2016: 948-952 - [c46]Simon Durand, Slim Essid:
Downbeat Detection with Conditional Random Fields and Deep Learned Features. ISMIR 2016: 386-392 - [c45]Romain Serizel, Slim Essid, Gaël Richard:
Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence. MLSP 2016: 1-6 - 2015
- [j11]Aymeric Masurelle, Ahmed Rida Sekkat, Slim Essid, Gaël Richard:
TPT-Dance&Actions : un corpus multimodal d'activités humaines. Traitement du Signal 32(4): 443-475 (2015) - [c44]Victor Bisot, Slim Essid, Gaël Richard:
HOG and subband power distribution image features for acoustic scene classification. EUSIPCO 2015: 719-723 - [c43]Thomas Fillon, Cyril Joder, Simon Durand, Slim Essid:
A Conditional Random Field system for beat tracking. ICASSP 2015: 424-428 - [c42]Rachel M. Bittner, Justin Salamon, Slim Essid, Juan Pablo Bello:
Melody Extraction by Contour Classification. ISMIR 2015: 500-506 - 2014
- [j10]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Soft Nonnegative Matrix Co-Factorization. IEEE Trans. Signal Process. 62(22): 5940-5949 (2014) - [c41]Aymeric Masurelle, Slim Essid, Gaël Richard:
Gesture recognition using a NMF-based representation of motion-traces extracted from depth silhouettes. ICASSP 2014: 1275-1279 - [c40]Anne-Claire Conneau, Slim Essid:
Assessment of new spectral features for eeg-based emotion recognition. ICASSP 2014: 4698-4702 - [c39]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Piecewise constant nonnegative matrix factorization. ICASSP 2014: 6721-6725 - 2013
- [j9]Slim Essid, Xinyu Lin, Marc Gowing, Georgios Kordelas, Anil Aksay, Philip Kelly, Thomas Fillon, Qianni Zhang, Alfred Dielmann, Vlado Kitanovski, Robin Tournemenne, Aymeric Masurelle, Ebroul Izquierdo, Noel E. O'Connor, Petros Daras, Gaël Richard:
A multi-modal dance corpus for research into interaction between humans in virtual environments. J. Multimodal User Interfaces 7(1-2): 157-170 (2013) - [j8]Cyril Joder, Slim Essid, Gaël Richard:
Learning Optimal Features for Polyphonic Audio-to-Score Alignment. IEEE Trans. Speech Audio Process. 21(10): 2118-2128 (2013) - [j7]Slim Essid, Cédric Févotte:
Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring. IEEE Trans. Multim. 15(2): 415-425 (2013) - [j6]Félicien Vallet, Slim Essid, Jean Carrive:
A Multimodal Approach to Speaker Diarization on TV Talk-Shows. IEEE Trans. Multim. 15(3): 509-520 (2013) - [c38]Cécilia Damon, Antoine Liutkus, Alexandre Gramfort, Slim Essid:
Non-negative matrix factorization for single-channel EEG artifact rejection. ICASSP 2013: 1177-1181 - [c37]Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé:
Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization. ICASSP 2013: 3537-3541 - [c36]Angélique Dremeau, Slim Essid:
Probabilistic dance performance alignment by fusion of multimodal features. ICASSP 2013: 3642-3646 - [c35]Cécilia Damon, Antoine Liutkus, Alexandre Gramfort, Slim Essid:
Non-negative Tensor Factorization for single-channel EEG artifact rejection. MLSP 2013: 1-6 - [c34]Rémi Foucard, Slim Essid, Gaël Richard, Mathieu Lagrange:
Exploring new features for music classification. WIAMIS 2013: 1-4 - [c33]Aymeric Masurelle, Slim Essid, Gaël Richard:
Multimodal classification of dance movements using body joint trajectories and step sounds. WIAMIS 2013: 1-4 - 2012
- [c32]Rémi Foucard, Slim Essid, Mathieu Lagrange, Gaël Richard:
A regressive boosting approach to automatic audio tagging based on soft annotator fusion. ICASSP 2012: 73-76 - [c31]Slim Essid:
A single-class SVM based algorithm for computing an identifiable NMF. ICASSP 2012: 2053-2056 - [c30]Slim Essid, Dimitrios S. Alexiadis, Robin Tournemenne, Marc Gowing, Philip Kelly, David S. Monaghan, Petros Daras, Angélique Dremeau, Noel E. O'Connor:
An advanced virtual dance performance evaluator. ICASSP 2012: 2269-2272 - [c29]Slim Essid, Cédric Févotte:
Decomposing the video editing structure of a talk-show using nonnegative matrix factorization. ICIP 2012: 3105-3108 - [c28]Antoine Liutkus, Angélique Dremeau, Dimitrios S. Alexiadis, Slim Essid, Petros Daras:
Analysis of dance movements using gaussian processes: extended abstract. ACM Multimedia 2012: 1375-1376 - [p3]Slim Essid, Gaël Richard:
Fusion of Multimodal Information in Music Content Analysis. Multimodal Music Processing 2012: 37-52 - 2011
- [j5]Cyril Joder, Slim Essid, Gaël Richard:
A Conditional Random Field Framework for Robust and Scalable Audio-to-Score Matching. IEEE ACM Trans. Audio Speech Lang. Process. 19(8): 2385-2397 (2011) - [c27]Cyril Joder, Slim Essid, Gaël Richard:
Hidden Discrete Tempo Model: A tempo-aware timing model for audio-to-score alignment. ICASSP 2011: 397-400 - [c26]Sébastien Gulluni, Slim Essid, Olivier Buisson, Gaël Richard:
An Interactive System for Electro-Acoustic Music Analysis. ISMIR 2011: 145-150 - [c25]Rémi Foucard, Slim Essid, Mathieu Lagrange, Gaël Richard:
Multi-scale temporal fusion by boosting for music classification. ISMIR 2011: 663-668 - [c24]Marc Gowing, Philip Kelly, Noel E. O'Connor, Cyril Concolato, Slim Essid, Jean Le Feuvre, Robin Tournemenne, Ebroul Izquierdo, Vlado Kitanovski, Xinyu Lin, Qianni Zhang:
Enhanced visualisation of dance performance from automatically synchronised multimodal recordings. ACM Multimedia 2011: 667-670 - [c23]Slim Essid, Yves Grenier, Mounira Maazaoui, Gaël Richard, Robin Tournemenne:
An audio-driven virtual dance-teaching assistant. ACM Multimedia 2011: 675-678 - [c22]Sébastien Gulluni, Slim Essid, Olivier Buisson, Gaël Richard:
Interactive Classification of Sound Objects for Polyphonic Electro-Acoustic Music Annotation. Semantic Audio 2011 - [c21]