Salah Zaiem

PhD student at Telecom Paris working on self-supervised speech representation learning.

  • Zaiem, S., Kemiche, Y., Parcollet, T., Essid, S., & Ravanelli, M. (2023). Speech Self-Supervised Representation Benchmarking: Are We Doing it Right? in INTERSPEECH 2023 [Paper] [Code][Slides]

  • Zaiem, S., Parcollet, T., & Essid, S. (2023). Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations. in INTERSPEECH 2023 [Paper] [Code][Slides]

  • Zaiem, S., Algayres, R., Parcollet, T., Essid, S., & Ravanelli, M. (2023). Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study. http://arxiv.org/abs/2303.06740 in ICASSP 2023 [Paper] [Code][Poster]

  • Zaiem, S., Parcollet, T., & Essid, S. & Heba, A. (2022). “Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning,” in IEEE Journal of Selected Topics in Signal Processing, 2022, doi: 10.1109/JSTSP.2022.3195430. [Paper] [Code][Poster]

  • Algayres, R., Ricoul, T., Karadayi, J., Laurençon, H., Zaiem, S. Mohamed, A., Sagot, B., Dupoux, E.; (2022) DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon. Transactions of the Association for Computational Linguistics 2022; 10 1051–1065. doi: https://doi.org/10.1162/tacl_a_00505

  • Zaiem, S., Parcollet, T., & Essid, S. (2022). Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning. Accepted for Presentation at INTERSPEECH 2022.[Paper] [Code][Slides]

  • Zaiem, S., Parcollet, T., & Essid, S. (2021). Pretext Tasks selection for multitask self-supervised speech representation learning. AAAI 2022, the 2nd Workshop on Self-supervised Learning for Audio and Speech Processing : [Paper] [Code][Slides]

  • Gao, Y., Parcollet, T., Zaiem, S., Fernandez-Marques, J., de Gusmao, P. P. B., Beutel, D. J., & Lane, N. D. (2021). End-to-End Speech Recognition from Federated Acoustic Models. [Paper]

  • Zaiem, S., Parcollet, T., & Essid, S. (2021). Conditional independence for pretext task selection in Self-supervised speech representation learning. Accepted for Presentation at INTERSPEECH 2021. [Paper] [Slides]

  • Algayres, R., Zaiem, M. S., Sagot, B., & Dupoux, E. (2020). Evaluating the reliability of acoustic speech embeddings.
    Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020-October, 4621–4625.

  • Zaïem, M. S., & Bennequin, E. (2019). Learning to Communicate in Multi-Agent Reinforcement Learning : A Review
    Arxiv Preprint

  • Zaiem, S., & Sadat, F. (2018). Sequence to Sequence Learning for Query Expansion.
    33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 10075–10076.