Papers by Luis Lugo
Towards efficient self-supervised representation learning in speech processing (2024.findings-eacl)
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| Challenge: | Existing models require several GPUs for days to pretrain, generating environmental concerns because of their high energy consumption. |
| Approach: | They propose an efficient self-supervised model that uses a single GPU during 24 to 48 hours of pretraining to address high computational costs. |
| Outcome: | The proposed model represents two orders of magnitude better than existing models. |