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Do Audio Language Models Hear and Read Distinctive Features Alike?

arXiv cs.AI / cs.LG / cs.CLby Yuanhao Chen ()1 min read1 · 1 read
AI summary · grok-4.7Summaries by Vani AI

Study finds most audio language models do not align heard and read features, except voicing in Qwen2.5-Omni.

Researchers test whether audio language models encode a phonological distinctive feature in the same direction when a phoneme is heard and when it is read. Across 6 models, 7 features, and 15 languages from 11 families, only voicing in the two Qwen2.5-Omni models exceeds a random-pairing reference after multiple-testing correction. In three of six models, voicing keeps one audio direction across 14 languages with enough minimal pairs. Model family, not size, predicts which stream represents a feature, and the random reference varies by a factor of seven between models.

Key facts
  • Six models, seven features, and 15 languages were compared.
  • Only Qwen2.5-Omni voicing beat the random-pair reference after correction.
  • Model family, not size, predicted which stream encodes a feature.
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From the original article

1 min read at arxiv.org

Audio language models pass speech and text through a single decoder. We ask whether that decoder represents a distinctive feature in the same direction when a phoneme is heard and when it is read. For minimal pairs of phonemes differing in one feature, we take the offset between the two members' mean representations.

arXiv cs.AI / cs.LG / cs.CL

By Yuanhao Chen · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.