Papers by Chun Wei Chen

1 papers
An Exploration of Mamba for Speech Self-Supervised Models (2026.acl-long)

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Challenge: Mamba-based SSL models are promising for long-sequence modeling, speech unit extraction, and speech self-supervised learning.
Approach: They propose to use Mamba-based HuBERT models as an alternative to Transformer-based SSL architectures.
Outcome: The proposed models outperform Transformer-based models in language modeling tasks while showing superior performance on streaming ASR.

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