6 papers
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…
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…
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…
XPPG-PCA: Reference-free automatic speech severity evaluation with principal components
Bence Mark Halpern, Thomas B. Tienkamp, Teja Rebernik +5
Reliably evaluating the severity of a speech pathology is crucial in healthcare. However, the current reliance on expert evaluations by speech-language pathologists presents severa…
Reference-free automatic speech severity evaluation using acoustic unit language modelling
Bence Mark Halpern, Tomoki Toda
Speech severity evaluation is becoming increasingly important as the economic burden of speech disorders grows. Current speech severity models often struggle with generalization, l…
Relationship between objective and subjective perceptual measures of speech in individuals with head and neck cancer
Bence Mark Halpern, Thomas Tienkamp, Teja Rebernik +4
Meaningful speech assessment is vital in clinical phonetics and therapy monitoring. This study examined the link between perceptual speech assessments and objective acoustic measur…