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"Match to Win: Analysing Sequences Lengths for Efficient Self-supervised ..."

Yan Gao et al. (2022)

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DOI: 10.48550/ARXIV.2209.15575

access: open

type: Informal or Other Publication

metadata version: 2022-10-06

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  - journals/corr/abs-2209-15575
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  - https://dblp.org/rec/journals/corr/abs-2209-15575
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR abs/2209.15575 (2022)

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