Transient modeling with a frequency-transform subspace algorithm and "transient+sinusoidal" scheme. - Rémy Boyer; Slim Essid (DSP, 2002)

Dynamic temporal segmentation in parametric non-stationary modeling for percussive musical signals. - Rémy Boyer; Slim Essid; Nicolas Moreau (ICME (1), 2002)

Musical instrument recognition on solo performances. - Slim Essid; Gaël Richard; Bertrand David 002 (EUSIPCO, 2004)

Musical instrument recognition based on class pairwise feature selection. - Slim Essid; Gaël Richard; Bertrand David 002 (ISMIR, 2004)

Instrument recognition in polyphonic music. - Slim Essid; Gaël Richard; Bertrand David 002 (ICASSP (3), 2005)

Inferring Efficient Hierarchical Taxonomies for MIR Tasks: Application to Musical Instruments. - Slim Essid; Gaël Richard; Bertrand David 002 (ISMIR, 2005)

Classification automatique des signaux audio-fréquences : reconnaissance des instruments de musique. (Automatic Classification of Audio Signals: Machine Recognition of Musical Instruments). - Slim Essid (2005)

Hierarchical Classification of Musical Instruments on Solo Recordings. - Slim Essid; Gaël Richard; Bertrand David 002 (ICASSP (5), 2006)

Instrument recognition in polyphonic music based on automatic taxonomies. - Slim Essid; Gaël Richard; Bertrand David 002 (IEEE Trans. Speech Audio Process., 2006)

Musical instrument recognition by pairwise classification strategies. - Slim Essid; Gaël Richard; Bertrand David 002 (IEEE Trans. Speech Audio Process., 2006)

Combined Supervised and Unsupervised Approaches for Automatic Segmentation of Radiophonic Audio Streams. - Gaël Richard; Mathieu Ramona; Slim Essid (ICASSP (2), 2007)

K-Space at TRECVID 2007. - Peter Wilkins; Tomasz Adamek; Daragh Byrne; Gareth J. F. Jones; Hyowon Lee 001; Gordon Keenan; Kevin McGuinness; Noel E. O'Connor; Alan F. Smeaton; Alia Amin; Zeljko Obrenovic; Rachid Benmokhtar; et al. (TRECVID, 2007)

On the Correlation of Automatic Audio and Visual Segmentations of Music Videos. - Olivier Gillet; Slim Essid; Gaël Richard (IEEE Trans. Circuits Syst. Video Technol., 2007)

Alignment kernels for audio classification with application to music instrument recognition. - Cyril Joder; Slim Essid; Gaël Richard (EUSIPCO, 2008)

On the robustness of audio features for musical instrument classification. - Sebastian Wegener; Martin Haller; Juan José Burred; Thomas Sikora; Slim Essid; Gaël Richard (EUSIPCO, 2008)

A collaborative approach to automatic rushes video summarization. - Werner Bailer; Emilie Dumont; Slim Essid; Bernard Mérialdo (ICIP, 2008)

Rushes video summarization using a collaborative approach. - Emilie Dumont; Bernard Mérialdo; Slim Essid; Werner Bailer; Herwig Rehatschek; Daragh Byrne; Hervé Bredin; Noel E. O'Connor; Gareth J. F. Jones; Alan F. Smeaton; Martin Haller; Andreas Krutz; et al. (TVS, 2008)

Incorporating prior knowledge on the digital media creation process into audio classifiers. - Maxime Lardeur; Slim Essid; Gaël Richard; Martin Haller; Thomas Sikora (ICASSP, 2009)

Temporal Integration for Audio Classification With Application to Musical Instrument Classification. - Cyril Joder; Slim Essid; Gaël Richard (IEEE Trans. Speech Audio Process., 2009)

A multimodal approach to initialisation for top-down speaker diarization of television shows. - Simon Bozonnet; Félicien Vallet; Nicholas W. D. Evans; Slim Essid; Gaël Richard; Jean Carrive (EUSIPCO, 2010)

A comparative study of tonal acoustic features for a symbolic level music-to-score alignment. - Cyril Joder; Slim Essid; Gaël Richard (ICASSP, 2010)

Robust visual features for the multimodal identification of unregistered speakers in TV talk-shows. - Félicien Vallet; Slim Essid; Jean Carrive; Gaël Richard (ICIP, 2010)

An Improved Hierarchical Approach for Music-to-symbolic Score Alignment. - Cyril Joder; Slim Essid; Gaël Richard (ISMIR, 2010)

YAAFE, an Easy to Use and Efficient Audio Feature Extraction Software. - Benoît Mathieu; Slim Essid; Thomas Fillon; Jacques Prado; Gaël Richard (ISMIR, 2010)

A conditional random field viewpoint of symbolic audio-to-score matching. - Cyril Joder; Slim Essid; Gaël Richard (ACM Multimedia, 2010)

Feature Extraction for Multimedia Analysis. - Rachid Benmokhtar; Benoit Huet; Gaël Richard; Slim Essid (Multimedia Semantics, 2011)

Machine Learning Techniques for Multimedia Analysis. - Slim Essid; Marine Campedel; Gaël Richard; Tomas Piatrik; Rachid Benmokhtar; Benoit Huet (Multimedia Semantics, 2011)

Hidden Discrete Tempo Model: A tempo-aware timing model for audio-to-score alignment. - Cyril Joder; Slim Essid; Gaël Richard (ICASSP, 2011)

Multi-scale temporal fusion by boosting for music classification. - Rémi Foucard; Slim Essid; Mathieu Lagrange; Gaël Richard (ISMIR, 2011)

An Interactive System for Electro-Acoustic Music Analysis. - Sébastien Gulluni; Slim Essid; Olivier Buisson; Gaël Richard (ISMIR, 2011)

An audio-driven virtual dance-teaching assistant. - Slim Essid; Yves Grenier; Mounira Maazaoui; Gaël Richard; Robin Tournemenne (ACM Multimedia, 2011)

Enhanced visualisation of dance performance from automatically synchronised multimodal recordings. - 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 (ACM Multimedia, 2011)

Interactive Classification of Sound Objects for Polyphonic Electro-Acoustic Music Annotation. - Sébastien Gulluni; Slim Essid; Olivier Buisson; Gaël Richard (Semantic Audio, 2011)

Optimizing the mapping from a symbolic to an audio representation for music-to-score alignment. - Cyril Joder; Slim Essid; Gaël Richard (WASPAA, 2011)

A Conditional Random Field Framework for Robust and Scalable Audio-to-Score Matching. - Cyril Joder; Slim Essid; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

Fusion of Multimodal Information in Music Content Analysis. - Slim Essid; Gaël Richard (Multimodal Music Processing, 2012)

A single-class SVM based algorithm for computing an identifiable NMF. - Slim Essid (ICASSP, 2012)

An advanced virtual dance performance evaluator. - Slim Essid; Dimitrios S. Alexiadis; Robin Tournemenne; Marc Gowing; Philip Kelly; David S. Monaghan; Petros Daras; Angélique Dremeau; Noel E. O'Connor (ICASSP, 2012)

A regressive boosting approach to automatic audio tagging based on soft annotator fusion. - Rémi Foucard; Slim Essid; Mathieu Lagrange; Gaël Richard (ICASSP, 2012)

Decomposing the video editing structure of a talk-show using nonnegative matrix factorization. - Slim Essid; Cédric Févotte (ICIP, 2012)

Analysis of dance movements using gaussian processes: extended abstract. - Antoine Liutkus; Angélique Dremeau; Dimitrios S. Alexiadis; Slim Essid; Petros Daras (ACM Multimedia, 2012)

Non-negative matrix factorization for single-channel EEG artifact rejection. - Cécilia Damon; Antoine Liutkus; Alexandre Gramfort; Slim Essid (ICASSP, 2013)

Probabilistic dance performance alignment by fusion of multimodal features. - Angélique Dremeau; Slim Essid (ICASSP, 2013)

Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization. - Nicolas Seichepine; Slim Essid; Cédric Févotte; Olivier Cappé (ICASSP, 2013)

Non-negative Tensor Factorization for single-channel EEG artifact rejection. - Cécilia Damon; Antoine Liutkus; Alexandre Gramfort; Slim Essid (MLSP, 2013)

Exploring new features for music classification. - Rémi Foucard; Slim Essid; Gaël Richard; Mathieu Lagrange (WIAMIS, 2013)

Multimodal classification of dance movements using body joint trajectories and step sounds. - Aymeric Masurelle; Slim Essid; Gaël Richard (WIAMIS, 2013)

A multi-modal dance corpus for research into interaction between humans in virtual environments. - Slim Essid; Xinyu Lin; Marc Gowing; Georgios Kordelas; Anil Aksay; Philip Kelly; Thomas Fillon; Qianni Zhang; Alfred Dielmann; Vlado Kitanovski; Robin Tournemenne; Aymeric Masurelle; et al. (J. Multimodal User Interfaces, 2013)

Learning Optimal Features for Polyphonic Audio-to-Score Alignment. - Cyril Joder; Slim Essid; Gaël Richard (IEEE Trans. Speech Audio Process., 2013)

Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring. - Slim Essid; Cédric Févotte (IEEE Trans. Multim., 2013)

A Multimodal Approach to Speaker Diarization on TV Talk-Shows. - Félicien Vallet; Slim Essid; Jean Carrive (IEEE Trans. Multim., 2013)

Assessment of new spectral features for eeg-based emotion recognition. - Anne-Claire Conneau; Slim Essid (ICASSP, 2014)

Gesture recognition using a NMF-based representation of motion-traces extracted from depth silhouettes. - Aymeric Masurelle; Slim Essid; Gaël Richard (ICASSP, 2014)

Piecewise constant nonnegative matrix factorization. - Nicolas Seichepine; Slim Essid; Cédric Févotte; Olivier Cappé (ICASSP, 2014)

Soft Nonnegative Matrix Co-Factorization. - Nicolas Seichepine; Slim Essid; Cédric Févotte; Olivier Cappé (IEEE Trans. Signal Process., 2014)

HOG and subband power distribution image features for acoustic scene classification. - Victor Bisot; Slim Essid; Gaël Richard (EUSIPCO, 2015)

A Conditional Random Field system for beat tracking. - Thomas Fillon; Cyril Joder; Simon Durand; Slim Essid (ICASSP, 2015)

Melody Extraction by Contour Classification. - Rachel M. Bittner; Justin Salamon; Slim Essid; Juan Pablo Bello (ISMIR, 2015)

TPT-Dance&Actions : un corpus multimodal d'activités humaines. - Aymeric Masurelle; Ahmed Rida Sekkat; Slim Essid; Gaël Richard (Traitement du Signal, 2015)

Acoustic scene classification with matrix factorization for unsupervised feature learning. - Victor Bisot; Romain Serizel; Slim Essid; Gaël Richard (ICASSP, 2016)

Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification. - Romain Serizel; Slim Essid; Gaël Richard (ICASSP, 2016)

Machine listening techniques as a complement to video image analysis in forensics. - Romain Serizel; Victor Bisot; Slim Essid; Gaël Richard (ICIP, 2016)

Downbeat Detection with Conditional Random Fields and Deep Learned Features. - Simon Durand; Slim Essid (ISMIR, 2016)

Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence. - Romain Serizel; Slim Essid; Gaël Richard (MLSP, 2016)

Nonnegative Feature Learning Methods for Acoustic Scene Classification. - Victor Bisot; Romain Serizel; Slim Essid; Gaël Richard (DCASE, 2017)

EMOEEG: A new multimodal dataset for dynamic EEG-based emotion recognition with audiovisual elicitation. - Anne-Claire Conneau; Ayoub Hajlaoui; Mohamed Chetouani; Slim Essid (EUSIPCO, 2017)

Overlapping sound event detection with supervised Nonnegative Matrix Factorization. - Victor Bisot; Slim Essid; Gaël Richard (ICASSP, 2017)

Motion informed audio source separation. - Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (ICASSP, 2017)

Supervised group nonnegative matrix factorisation with similarity constraints and applications to speaker identification. - Romain Serizel; Victor Bisot; Slim Essid; Gaël Richard (ICASSP, 2017)

UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions. - Atef Ben Youssef; Chloé Clavel; Slim Essid; Miriam Bilac; Marine Chamoux; Angelica Lim (ICMI, 2017)

Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields. - Valentin Barrière; Chloé Clavel; Slim Essid (INTERSPEECH, 2017)

Leveraging deep neural networks with nonnegative representations for improved environmental sound classification. - Victor Bisot; Romain Serizel; Slim Essid; Gaël Richard (MLSP, 2017)

Guiding audio source separation by video object information. - Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (WASPAA, 2017)

Feature Learning With Matrix Factorization Applied to Acoustic Scene Classification. - Victor Bisot; Romain Serizel; Slim Essid; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. - Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (CVPR Workshops, 2018)

Multi-task Feature Learning for EEG-based Emotion Recognition Using Group Nonnegative Matrix Factorization. - Ayoub Hajlaoui; Mohamed Chetouani; Slim Essid (EUSIPCO, 2018)

Attitude Classification in Adjacency Pairs of a Human-Agent Interaction with Hidden Conditional Random Fields. - Valentin Barrière; Chloé Clavel; Slim Essid (ICASSP, 2018)

An Ensemble Learning Approach to Detect Epileptic Seizures from Long Intracranial EEG Recordings. - Jean-Baptiste Schiratti; Jean-Eudes Le Douget; Michel Le Van Quyen; Slim Essid; Alexandre Gramfort (ICASSP, 2018)

Structured Output Learning with Abstention: Application to Accurate Opinion Prediction. - Alexandre Garcia 001; Chloé Clavel; Slim Essid; Florence d'Alché-Buc (ICML, 2018)

Main Melody Estimation with Source-Filter NMF and CRNN. - Dogac Basaran; Slim Essid; Geoffroy Peeters (ISMIR, 2018)

Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking. - Magdalena Fuentes; Brian McFee; Hélène C. Crayencour; Slim Essid; Juan Pablo Bello (ISMIR, 2018)

A robust audio classification system for detecting pulmonary edema. - Kah Jun Hong; Slim Essid; Wee Ser; David Chee-Guan Foo (Biomed. Signal Process. Control., 2018)

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. - Alexandre Garcia 001; Pierre Colombo; Florence d'Alché-Buc; Slim Essid; Chloé Clavel (EMNLP/IJCNLP (1), 2019)

A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning. - Magdalena Fuentes; Brian McFee; Hélène C. Crayencour; Slim Essid; Juan Pablo Bello (ICASSP, 2019)

Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning. - Magdalena Fuentes; Lucas Simões Maia; Martín Rocamora; Luiz W. P. Biscainho; Hélène Camille Crayencour; Slim Essid; Juan Pablo Bello (ISMIR, 2019)

SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis. - Lucas Simões Maia; Magdalena Fuentes; Luiz W. P. Biscainho; Martín Rocamora; Slim Essid (ISMIR, 2019)

MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music. - Giorgia Cantisani; Gabriel Trégoat; Slim Essid; Gaël Richard (SMM, 2019)

EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music. - Giorgia Cantisani; Slim Essid; Gaël Richard (WASPAA, 2019)

Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections Using Weak Supervision. - Sanjeel Parekh; Alexey Ozerov; Slim Essid; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (WASPAA, 2019)

A multimodal movie review corpus for fine-grained opinion mining. - Alexandre Garcia 001; Slim Essid; Florence d'Alché-Buc; Chloé Clavel (CoRR, 2019)

On-the-Fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction Using Recurrent and Deep Neural Networks. - Atef Ben Youssef; Giovanna Varni; Slim Essid; Chloé Clavel (Int. J. Soc. Robotics, 2019)

Audiovisual Analysis of Music Performances: Overview of an Emerging Field. - Zhiyao Duan; Slim Essid; Cynthia C. S. Liem; Gaël Richard; Gaurav Sharma 001 (IEEE Signal Process. Mag., 2019)

DNN-based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays. - Nicolas Furnon; Romain Serizel; Irina Illina; Slim Essid (ICASSP, 2020)

On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019. - Atef Ben Youssef; Giovanna Varni; Slim Essid; Chloé Clavel (CoRR, 2020)

Weakly Supervised Representation Learning for Audio-Visual Scene Analysis. - Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes. - Nicolas Furnon; Romain Serizel; Slim Essid; Irina Illina (EUSIPCO, 2021)

Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF. - Giorgia Cantisani; Slim Essid; Gaël Richard (ICASSP, 2021)

Distributed Speech Separation in Spatially Unconstrained Microphone Arrays. - Nicolas Furnon; Romain Serizel; Irina Illina; Slim Essid (ICASSP, 2021)

Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning. - Salah Zaiem; Titouan Parcollet; Slim Essid (Interspeech, 2021)

User-Guided One-Shot Deep Model Adaptation for Music Source Separation. - Giorgia Cantisani; Alexey Ozerov; Slim Essid; Gaël Richard (WASPAA, 2021)

Pretext Tasks selection for multitask self-supervised speech representation learning. - Salah Zaiem; Titouan Parcollet; Slim Essid (CoRR, 2021)

Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction. - Atef Ben Youssef; Chloé Clavel; Slim Essid (IEEE Trans. Affect. Comput., 2021)

DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays. - Nicolas Furnon; Romain Serizel; Slim Essid; Irina Illina (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Latent and Adversarial Data Augmentations for Sound Event Detection and Classification. - David Perera; Slim Essid; Gaël Richard (DCASE, 2022)

Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning. - Salah Zaiem; Titouan Parcollet; Slim Essid (INTERSPEECH, 2022)

Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (ISMIR, 2022)

Opinions in Interactions : New Annotations of the SEMAINE Database. - Valentin Barrière; Slim Essid; Chloé Clavel (LREC, 2022)

Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning. - Salah Zaiem; Titouan Parcollet; Slim Essid; Abdelwahab Heba (IEEE J. Sel. Top. Signal Process., 2022)

One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models. - Yasser Benigmim; Subhankar Roy; Slim Essid; Vicky Kalogeiton; Stéphane Lathuilière (CVPR Workshops, 2023)

Cosmopolite Sound Monitoring (CoSMo): A Study of Urban Sound Event Detection Systems Generalizing to Multiple Cities. - Florian Angulo; Slim Essid; Geoffroy Peeters; Christophe Mietlicki (ICASSP, 2023)

Fine-Tuning Strategies for Faster Inference Using Speech Self-Supervised Models: A Comparative Study. - Salah Zaiem; Robin Algayres; Titouan Parcollet; Slim Essid; Mirco Ravanelli (ICASSP Workshops, 2023)

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right? - Salah Zaiem; Youcef Kemiche; Titouan Parcollet; Slim Essid; Mirco Ravanelli (INTERSPEECH, 2023)

Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations. - Salah Zaiem; Titouan Parcollet; Slim Essid (INTERSPEECH, 2023)

A Repetition-Based Triplet Mining Approach for Music Segmentation. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (ISMIR, 2023)

Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. - Victor Letzelter; Mathieu Fontaine 002; Mickaël Chen; Patrick Pérez; Slim Essid; Gaël Richard (NeurIPS, 2023)

SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays. - Nicolas Furnon; Romain Serizel; Slim Essid; Irina Illina (CoRR, 2023)

Collaborating Foundation Models for Domain Generalized Semantic Segmentation. - Yasser Benigmim; Subhankar Roy; Slim Essid; Vicky Kalogeiton; Stéphane Lathuilière (CVPR, 2024)

Invariance-Based Layer Regularization for Sound Event Detection. - David Perera; Slim Essid; Gaël Richard (EUSIPCO, 2024)

Adapting Pitch-Based Self Supervised Learning Models for Tempo Estimation. - Antonin Gagneré; Slim Essid; Geoffroy Peeters (ICASSP, 2024)

Online Speaker Diarization of Meetings Guided by Speech Separation. - Elio Gruttadauria; Mathieu Fontaine 002; Slim Essid (ICASSP, 2024)

On The Choice of the Optimal Temporal Support for Audio Classification with Pre-Trained Embeddings. - Aurian Quelennec; Michel Olvera; Geoffroy Peeters; Slim Essid (ICASSP, 2024)

A Lightweight Dual-Stage Framework for Personalized Speech Enhancement Based on Deepfilternet2. - Thomas Serre; Mathieu Fontaine 002; Éric Benhaim; Geoffroy Dutour; Slim Essid (ICASSP Workshops, 2024)

Winner-takes-all learners are geometry-aware conditional density estimators. - Victor Letzelter; David Perera; Cédric Rommel; Mathieu Fontaine 002; Slim Essid; Gaël Richard; Patrick Pérez (ICML, 2024)

Using Pairwise Link Prediction and Graph Attention Networks for Music Structure Analysis. - Morgan Buisson; Brian McFee; Slim Essid (ISMIR, 2024)

A Contrastive Self-Supervised Learning Scheme for Beat Tracking Amenable to Few-Shot Learning. - Antonin Gagneré; Slim Essid; Geoffroy Peeters (ISMIR, 2024)

An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching. - Hugo Malard; Michel Olvera; Stéphane Lathuilière; Slim Essid (NeurIPS, 2024)

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. - David Perera; Victor Letzelter; Théo Mariotte; Adrien Cortés; Mickaël Chen; Slim Essid; Gaël Richard (NeurIPS, 2024)

Less Forgetting for Better Generalization: Exploring Continual-learning Fine-tuning Methods for Speech Self-supervised Representations. - Salah Zaiem; Titouan Parcollet; Slim Essid (CoRR, 2024)

SALT: Standardized Audio event Label Taxonomy. - Paraskevas Stamatiadis; Michel Olvera; Slim Essid (CoRR, 2024)

A sound description: Exploring prompt templates and class descriptions to enhance zero-shot audio classification. - Michel Olvera; Paraskevas Stamatiadis; Slim Essid (CoRR, 2024)

An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment. - Hugo Malard; Michel Olvera; Stéphane Lathuilière; Slim Essid (CoRR, 2024)

TACO: Training-free Sound Prompted Segmentation via Deep Audio-visual CO-factorization. - Hugo Malard; Michel Olvera; Stéphane Lathuilière; Slim Essid (CoRR, 2024)

Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Perceptual Noise-Masking with Music through Deep Spectral Envelope Shaping. - Clémentine Berger; Roland Badeau; Slim Essid (ICASSP, 2025)

O-EENC-SD: Efficient Online End-to-End Neural Clustering for Speaker Diarization. - Elio Gruttadauria; Mathieu Fontaine 002; Jonathan Le Roux; Slim Essid (ICASSP, 2025)

Multiple Choice Learning for Efficient Speech Separation with Many Speakers. - David Perera; François Derrida; Théo Mariotte; Gaël Richard; Slim Essid (ICASSP, 2025)

Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning. - Aurian Quelennec; Pierre Chouteau; Geoffroy Peeters; Slim Essid (ICASSP, 2025)

Contrastive Knowledge Distillation for Embedding Refinement in Personalized Speech Enhancement. - Thomas Serre; Mathieu Fontaine 002; Éric Benhaim; Slim Essid (ICASSP, 2025)

Speech self-supervised representations benchmarking: A case for larger probing heads. - Salah Zaiem; Youcef Kemiche; Titouan Parcollet; Slim Essid; Mirco Ravanelli (Comput. Speech Lang., 2025)

Multiple Choice Learning of Low Rank Adapters for Language Modeling. - Victor Letzelter; Hugo Malard; Mathieu Fontaine 002; Gaël Richard; Slim Essid; Andrei Bursuc; Patrick Pérez (CoRR, 2025)

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning. - Aurian Quelennec; Pierre Chouteau; Geoffroy Peeters; Slim Essid (CoRR, 2025)