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20222026
most citedSpeech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization

3 citations · 3 across the 15 of their papers we have counts for

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Showing 2023 · cs.SDShow all

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cs.SD2023

Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond

Jiatong Shi, William Chen, Dan Berrebbi +10

The 2023 Multilingual Speech Universal Performance Benchmark (ML-SUPERB) Challenge expands upon the acclaimed SUPERB framework, emphasizing self-supervised models in multilingual s…