2 citations · 5 across the 8 of their papers we have counts for
11 papers
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…
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-…
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…
Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection
Serli Kopar, Sam Gijsen, Abner Hernandez +2
Self-supervised learning (SSL) speech representations achieve strong performance for Parkinson's disease (PD) detection within individual corpora. However, it remains unclear wheth…
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…
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…
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
Abner Hernandez, Eunjung Yeo, Kwanghee Choi +12
The limited availability of dysarthric speech data makes cross-lingual detection an important but challenging problem. A key difficulty is that speech representations often encode…
Confidence-Guided Error Correction for Disordered Speech Recognition
Abner Hernandez, Tomás Arias Vergara, Andreas Maier +1
We investigate the use of large language models (LLMs) as post-processing modules for automatic speech recognition (ASR), focusing on their ability to perform error correction for…
Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices
Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa +3
Collecting speech data is an important step in training speech recognition systems and other speech-based machine learning models. However, the issue of privacy protection is an in…
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition
Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth +3
State-of-the-art automatic speech recognition (ASR) systems perform well on healthy speech. However, the performance on impaired speech still remains an issue. The current study ex…
SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks
Aline Sindel, Abner Hernandez, Seung Hee Yang +2
With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming. Therefore, automatic slide extraction from t…