Scholar
Slim Essid
Google Scholar ID: 5dP_Pv0AAAAJ
NVIDIA
Machine Learning
AI
Multimodal Language Models
MIR
Audio and Speech Processing
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Homepage
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Citations & Impact
All-time
Citations
2,192
H-index
25
i10-index
55
Publications
20
Co-authors
81
list available
Contact
Email
slim.essid@telecom-paris.fr
GitHub
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LinkedIn
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Publications
10 items
O-EENC-SD: Efficient Online End-to-End Neural Clustering for Speaker Diarization
2025
Cited
0
Controlling Contrastive Self-Supervised Learning with Knowledge-Driven Multiple Hypothesis: Application to Beat Tracking
2025
Cited
0
IS${}^3$ : Generic Impulsive--Stationary Sound Separation in Acoustic Scenes using Deep Filtering
2025
Cited
0
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
2025
Cited
0
MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning
2025
Cited
0
Multiple Choice Learning of Low Rank Adapters for Language Modeling
2025
Cited
0
Perceptual Noise-Masking with Music through Deep Spectral Envelope Shaping
2025
Cited
0
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
2025
Cited
0
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Resume (English only)
Academic Achievements
Published over 150 peer-reviewed conference and journal papers with more than 100 distinct co-authors
2025: 1 paper accepted at EMNLP 2025
2025: 1 paper accepted at WASPAA 2025
2025: 1 paper accepted at Interspeech 2025
2024: 5 papers accepted at ICASSP 2025
2024: 2 papers accepted at NeurIPS 2024
Notable work: MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning
Research Experience
Senior Scientist at NVIDIA since June 2025
Previously Full Professor at Télécom Paris
Coordinator of the Audio Data Analysis and Signal Processing (ADASP) group
Involved in numerous French and European research projects over the past 20 years
Collaborated with 14 post-docs, graduated 18 PhD students, currently co-advising 8 others
Co-authors
81 total
Gaël Richard
Professor, Télécom Paris, Institut polytechnique de Paris
romain serizel
Associate professor, Université de Lorraine, LORIA
Co-author 3
Co-author 4
Chloé Clavel
Telecom-ParisTech
Co-author 6
patrick pérez
kyutai
Noel E. O'Connor
CEO, Insight Centre for Data Analytics, Dublin City University
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