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Fine-Tuning Strategies for Faster Inference Using Speech Self-Supervised Models: A Comparative Study.

, , , , and . ICASSP Workshops, page 1-5. IEEE, (2023)

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Pretext Tasks selection for multitask self-supervised speech representation learning., , and . CoRR, (2021)Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition., , , and . CoRR, (2023)Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning., , and . Interspeech, page 2851-2855. ISCA, (2021)Sequence to Sequence Learning for Query Expansion., and . CoRR, (2018)Sequence to Sequence Learning for Query Expansion., and . AAAI, page 10075-10076. AAAI Press, (2019)Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads., , , , and . CoRR, (2023)Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning., , and . INTERSPEECH, page 669-673. ISCA, (2022)Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning., , , and . IEEE J. Sel. Top. Signal Process., 16 (6): 1439-1453 (2022)Big model only for hard audios: Sample dependent Whisper model selection for efficient inferences., , and . CoRR, (2023)CL-MASR: A Continual Learning Benchmark for Multilingual ASR., , , , and . CoRR, (2023)