3 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
ART-NAD: An Articulatory Inversion-based Neural Acoustic Distance for Pathological Speech Intelligibility Assessment
Bence Mark Halpern, Thomas Tienkamp, Defne Abur +1
Speech assessment tools for speakers with speech pathology must be both accurate and interpretable if they are to be adopted in clinical practice. Existing reference-audio measures…
Improving Automatic Speech Recognition for Speakers Treated for Oral Cancer using Data Augmentation and LLM Error Correction
Hidde Folkertsma, Thomas Tienkamp, Sebastiaan de Visscher +4
In recent years, the performance of automatic speech recognition (ASR) systems has made considerable progress. Unfortunately, for people with speech impairments, such as people tre…
PathBench: Speech Intelligibility Benchmark for Automatic Pathological Speech Assessment
Bence Mark Halpern, Thomas Tienkamp, Defne Abur +1
Automatic speech intelligibility assessment is crucial for monitoring speech disorders and therapy efficacy. However, existing methods are difficult to compare: research is fragmen…
Towards explainable reference-free speech intelligibility evaluation of people with pathological speech
Bence Mark Halpern, Thomas Tienkamp, Defne Abur +1
Objective assessment of speech that reflects meaningful changes in communication is crucial for clinical decision making and reproducible research. While existing objective assessm…