5 citations · 21 across the 13 of their papers we have counts for
8 papers · 1 filter
A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini +1
Automated L2 speech assessment can assign proficiency labels, but often lacks interpretability. We propose a rubric-guided SpeechLLM for multi-aspect, multi-granular assessment, tr…
Assessing Dutch Syllabification Algorithms and Improving Accuracy by Combining Phonetic and Orthographic Information through Deep Learning
Gus Lathouwers, Wieke Harmsen, Catia Cucchiarini +1
Syllabification describes the task of dividing words into syllables. Due to many rules and exceptions, training an algorithm to perform syllabification with high accuracy remains a…
Transcribing Children's Speech: ASR Performance and Obtaining Reliable Orthographic Transcriptions
Gus Lathouwers, Lingyun Gao, Catia Cucchiarini +1
Automatic speech recognition (ASR) has the potential to substantially reduce manual annotation effort in child speech research by generating automatic transcriptions. However, obta…
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…
Reading Miscue Detection in Primary School through Automatic Speech Recognition
Lingyun Gao, Cristian Tejedor-Garcia, Helmer Strik +1
Automatic reading diagnosis systems can benefit both teachers for more efficient scoring of reading exercises and students for accessing reading exercises with feedback more easily…
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…
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders
Yu Bai, Cristian Tejedor-Garcia, Ferdy Hubers +2
The interest in employing automatic speech recognition (ASR) in applications for reading practice has been growing in recent years. In a previous study, we presented an ASR-based D…
Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics
Bo Molenaar, Cristian Tejedor-Garcia, Helmer Strik +1
Automatic assessment of reading fluency using automatic speech recognition (ASR) holds great potential for early detection of reading difficulties and subsequent timely interventio…