9 papers
When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition
Pehuén Moure, Pehuén Moure, Niclas Pokel +5
Automatic speech recognition (ASR) systems remain brittle on dysarthric and other atypical speech. Recent audio-language models raise the possibility of improving performance by co…
Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech
Anja Ryser, Yingqiang Gao, Sarah Ebling
Language sample analysis (LSA) is a process that complements standardized psychometric tests for diagnosing, for example, developmental language disorder (DLD) in children. However…
Generating and Evaluating Sustainable Procurement Criteria for the Swiss Public Sector using In-Context Prompting with Large Language Models
Yingqiang Gao, Veton Matoshi, Luca Rolshoven +5
Public procurement refers to the process by which public sector institutions, such as governments, municipalities, and publicly funded bodies, acquire goods and services. Swiss law…
Two-Stage Adaptation for Non-Normative Speech Recognition: Revisiting Speaker-Independent Initialization for Personalization
Shan Jiang, Jiawen Qi, Chuanbing Huo +2
Personalizing automatic speech recognition (ASR) systems for non-normative speech, such as dysarthric and aphasic speech, is challenging. While speaker-specific fine-tuning (SS-FT)…
DETECT: Determining Ease and Textual Clarity of German Text Simplifications
Maria Korobeynikova, Alessia Battisti, Lukas Fischer +1
Current evaluation of German automatic text simplification (ATS) relies on general-purpose metrics such as SARI, BLEU, and BERTScore, which insufficiently capture simplification qu…
Template-Based Text-to-Image Alignment for Language Accessibility: A Study on Visualizing Text Simplifications
Belkiss Souayed, Sarah Ebling, Yingqiang Gao
Individuals with intellectual disabilities often have difficulties in comprehending complex texts. While many text-to-image models prioritize aesthetics over accessibility, it is n…