SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision
Published:Dec 23, 2025 12:22
•1 min read
•ArXiv
Analysis
The article introduces SpidR, a novel approach for training spoken language models. The key innovation is the ability to learn linguistic units without requiring labeled data, which is a significant advancement in the field. The focus on speed and stability suggests a practical application focus. The source being ArXiv indicates this is a research paper.
Key Takeaways
- •SpidR is a new method for training spoken language models.
- •It learns linguistic units without supervision (labeled data).
- •The method emphasizes speed and stability.
Reference
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