1 citations · 1 across the 4 of their papers we have counts for
4 papers
Cross-Lingual Parkinson's Disease Severity Assessment Using Pre-trained Speech Embeddings: A Multi-Class Evaluation
Simon Pals, Cristian Tejedor-Garcia
Parkinson's disease (PD) often manifests through speech impairments, facilitating accessible, non-invasive, and cost-effective severity assessment for early diagnosis and progressi…
A Benchmark for Early-stage Parkinson's Disease Detection from Speech
Terry Yi Zhong, Cristian Tejedor-Garcia, Khiet P. Truong +3
Early-stage Parkinson's disease (EarlyPD) detection from speech is clinically meaningful yet underexplored, and published results are hard to compare because studies differ in data…
Rubric-Guided Fine-tuning of SpeechLLMs for Multi-Aspect, Multi-Rater L2 Reading-Speech Assessment
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini +1
Reliable and interpretable automated assessment of second-language (L2) speech remains a central challenge, as large speech-language models (SpeechLLMs) often struggle to align wit…
Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications
Simone Wills, Yu Bai, Cristian Tejedor-Garcia +2
Voicebots have provided a new avenue for supporting the development of language skills, particularly within the context of second language learning. Voicebots, though, have largely…