Structured phonological representations provide an interpretable alternative to generic speech embeddings, but existing models are largely trained on adult speech. We adapt PhonoQ-2.0 to child speech using CHILDES-Aligned data and compare three alignment-supervision conditions (Adult, Adult+Child, and Child-only) acros...
Abner Hernandez, T. A. Vergara, Andreas K. Maier et al.· 0 citations
Preliminary analyses show interpretable surface-sensitive patterns consistent with flapping-like /t/ realizations, /t/-/r/ retraction or affrication, and nasal place assimilation, indicating that phonological information from synchronized audio can be partially transferred to articulatory models.
Abner Hernandez, T. A. Vergara, Dai-Qi Liu et al.· 0 citations
A layer-wise analysis of nine SSL speech backbones using a low-capacity logistic regression probe reveals that the transferred discriminative signal lacks pathological specificity, highlighting critical limitations that must be addressed before speech-based pathology recognition models can be reliably deployed in clini...
Serli Kopar, Sam Gijsen, Abner Hernandez et al.· 0 citations
This paper investigates how multilingual medical adaptation reshapes the internal representations of Whisper models through layer-wise encoder analysis, and shows that English medical fine-tuning produces the dominant encoder shift, whereas multilingual continuation largely preserves the adapted representation space.
Souranil Kahali, Rituparna Bose, Abner Hernandez et al.· 0 citations
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