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

Yan Gao et al. (2022)

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DOI: 10.1109/SLT54892.2023.10023410

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-30

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  dblp key:
  - conf/slt/GaolFPGL22
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  - https://dblp.org/rec/conf/slt/GaolFPGL22
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. SLT 2022: 115-122

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