WeSearch

Phone Segmentation and Recognition through Phonological Activation Mapping

·2 min read · 0 reactions · 0 comments · 1 view
#phone#segmentation#recognition#through#phonological
Phone Segmentation and Recognition through Phonological Activation Mapping
TL;DR · WeSearch summary

Mortensen View a PDF of the paper titled Phone Segmentation and Recognition through Phonological Activation Mapping, by Shikhar Bharadwaj and 10 other authors View PDF HTML (experimental) Abstract:Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separately. We argue that phonetic structure is already latent in the representations of self-supervised speech models (S3Ms), and one only needs to steer them to solve both tasks. We leverage S3M-based Phonological Activation Mapping (SPAM), which maps each S3M representation frame to a vector of phonological feature activations, such as voicing and nasality.

Key facts
Original article
arXiv cs.AI
Read full at arXiv cs.AI →
Opening excerpt (first ~120 words) tap to expand

Electrical Engineering and Systems Science > Audio and Speech Processing arXiv:2607.09020 (eess) [Submitted on 10 Jul 2026] Title:Phone Segmentation and Recognition through Phonological Activation Mapping Authors:Shikhar Bharadwaj, Kwanghee Choi, Stephen McIntosh, Chin-Jou Li, Eunjung Yeo, Daisuke Saito, Nobuaki Minematsu, Shinji Watanabe, Jian Zhu, David Harwath, David R. Mortensen View a PDF of the paper titled Phone Segmentation and Recognition through Phonological Activation Mapping, by Shikhar Bharadwaj and 10 other authors View PDF HTML (experimental) Abstract:Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separately.

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from arXiv cs.AI