Mohamed Salah Zaïem

According to our database, Mohamed Salah Zaïem authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2024

Informed Speech Self-supervised Representation Learning. (Apprentissage auto-supervisé informé de représentations du signal de parole).

Mohamed Salah Zaïem

PhD thesis, 2024

CL-MASR: A Continual Learning Benchmark for Multilingual ASR.

Luca Della Libera, Pooneh Mousavi, Salah Zaiem, Cem Subakan, Mirco Ravanelli

IEEE ACM Trans. Audio Speech Lang. Process., 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

Open-Source Conversational AI with SpeechBrain 1.0.

Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève

CoRR, 2024

How Should We Extract Discrete Audio Tokens from Self-Supervised Models?

Pooneh Mousavi, Jarod Duret, Salah Zaiem, Luca Della Libera, Artem Ploujnikov, Cem Subakan, Mirco Ravanelli

CoRR, 2024

Training Early-Exit Architectures for Automatic Speech Recognition: Fine-Tuning Pre-Trained Models or Training from Scratch.

George August Wright, Umberto Cappellazzo, Salah Zaiem, Desh Raj, Lucas Ondel Yang, Daniele Falavigna, Mohamed Nabih Ali, Alessio Brutti

Proceedings of the IEEE International Conference on Acoustics, 2024

Leveraging Data Collection and Unsupervised Learning for Code-Switched Tunisian Arabic Automatic Speech Recognition.

Ahmed Amine Ben Abdallah, Ata Kabboudi, Amir Kanoun, Salah Zaiem

Proceedings of the IEEE International Conference on Acoustics, 2024

TARIC-SLU: A Tunisian Benchmark Dataset for Spoken Language Understanding.

Salima Mdhaffar, Fethi Bougares, Renato de Mori, Salah Zaiem, Mirco Ravanelli, Yannick Estève

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Big model only for hard audios: Sample dependent Whisper model selection for efficient inferences.

Hugo Malard, Salah Zaiem, Robin Algayres

CoRR, 2023

Training dynamic models using early exits for automatic speech recognition on resource-constrained devices.

George August Wright, Umberto Cappellazzo, Salah Zaiem, Desh Raj, Lucas Ondel Yang, Daniele Falavigna, Alessio Brutti

CoRR, 2023

Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations.

Salah Zaiem, Titouan Parcollet, Slim Essid

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon.

Robin Algayres, Tristan Ricoul, Julien Karadayi, Hugo Laurençon, Mohamed Salah Zaïem, Abdelrahman Mohamed, Benoît Sagot, Emmanuel Dupoux

Trans. Assoc. Comput. Linguistics, 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

Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning.

Salah Zaiem, Titouan Parcollet, Slim Essid

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

End-to-End Speech Recognition from Federated Acoustic Models.

Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Pretext Tasks selection for multitask self-supervised speech representation learning.

Salah Zaiem, Titouan Parcollet, Slim Essid

CoRR, 2021

Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning.

Salah Zaiem, Titouan Parcollet, Slim Essid

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Evaluating the Reliability of Acoustic Speech Embeddings.

Robin Algayres, Mohamed Salah Zaïem, Benoît Sagot, Emmanuel Dupoux

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Learning to Communicate in Multi-Agent Reinforcement Learning : A Review.

Mohamed Salah Zaïem, Etienne Bennequin

CoRR, 2019

Sequence to Sequence Learning for Query Expansion.

Salah Zaiem, Fatiha Sadat

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019