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20242026
most citedPerceptual implications of automatic anonymization in pathological speech

1 citations · 2 across the 8 of their papers we have counts for

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8 papers · 1 filter

eess.IV2026

Blind Video Denoising for Vocal Tract rtMRI using a Self-Supervised Ensemble

Julian Andres Hernandez-Potes, Tomás Arias-Vergara, Daiqi Liu +2

Real-time magnetic resonance imaging of the vocal tract makes speech articulation directly observable, but the trade-off between temporal resolution and signal quality introduces s…

cs.CL2026

Do Speech Representations Preserve Regional Accent Across Read and Spontaneous Speech?

Paula A. Perez-Toro, Tomas Arias-Vergara, Annette Schwarz +4

Regional accent cues can be captured under matched conditions, but it remains unclear whether they persist between read and spontaneous speech. We study RVG1, with 500 German speak…

cs.CL2026

Child-Adapted Structured Phonological Representations for Interpretable Speech Sound Analysis

Abner Hernandez, Tomás Arias Vergara, Andreas Maier +1

Structured phonological representations provide an interpretable alternative to generic speech embeddings, but existing models are largely trained on adult speech. We adapt PhonoQ-…

cs.CL2026

Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis

Souranil Kahali, Rituparna Bose, Abner Hernandez +4

Medical automatic speech recognition (MedASR) requires adaptation to specialised terminology, limited annotated clinical data, and multilingual use cases. Although large-scale pret…

cs.CL2026

Structured Phonological Representations for Audio-Articulatory rtMRI Speech Classification

Abner Hernandez, Tomás Arias Vergara, Daiqi Liu +2

Real-time MRI makes it possible to observe vocal-tract articulation during speech, but mapping these articulatory patterns to phonetic and phonological categories remains challengi…

cs.CV2026

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI

Daiqi Liu, Lukas Mulzer, Md Hasan +11

Segmenting vocal tract articulators in real-time MRI (rtMRI) is a challenging dynamic image segmentation problem characterized by low contrast, rapid motion, and limited spatial re…

cs.SD2026

SIREM: Speech-Informed MRI Reconstruction with Learned Sampling

Md Hasan, Nyvenn Castro, Daiqi Liu +6

Real-time magnetic resonance imaging (rtMRI) of speech production enables non-invasive visualization of dynamic vocal-tract motion and is valuable for speech science and clinical a…

cs.CL2026

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models

Abner Hernandez, Tomás Arias-Vergara, Daiqi Liu +2

Phonological features provide a language-general and linguistically grounded representation of speech. We present PhonoQ-2.0, a multilingual frame-level phonological feature recogn…