AI RESEARCH
Multilingual Phonological Feature Recognition with Self-Supervised Speech Models
arXiv CS.CL
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ArXi:2605.25596v1 Announce Type: new Phonological features provide a language-general and linguistically grounded representation of speech. We present PhonoQ-2.0, a multilingual frame-level phonological feature recognizer built on self-supervised speech models. The system directly predicts a structured 22-dimensional feature vector per frame encoding manner, vowel quality, place, and voicing, instead of deriving features from phoneme outputs. To ensure phonologically coherent predictions, we.