5 citations · 21 across the 13 of their papers we have counts for
13 papers
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…
Utterance-Level Methods for Identifying Reliable ASR-Output for Child Speech
Gus Lathouwers, Lingyun Gao, Catia Cucchiarini +1
Automatic Speech Recognition (ASR) is increasingly used in applications involving child speech, such as language learning and literacy acquisition. However, the effectiveness of su…
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…
Zero-Shot Speech LLMs for Multi-Aspect Evaluation of L2 Speech: Challenges and Opportunities
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini +1
An accurate assessment of L2 English pronunciation is crucial for language learning, as it provides personalized feedback and ensures a fair evaluation of individual progress. Howe…
Evaluating Logit-Based GOP Scores for Mispronunciation Detection
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini +1
Pronunciation assessment relies on goodness of pronunciation (GOP) scores, traditionally derived from softmax-based posterior probabilities. However, posterior probabilities may su…
Enhancing GOP in CTC-Based Mispronunciation Detection with Phonological Knowledge
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini +1
Computer-Assisted Pronunciation Training (CAPT) systems employ automatic measures of pronunciation quality, such as the goodness of pronunciation (GOP) metric. GOP relies on forced…
Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts
Lingyun Gao, Cristian Tejedor-Garcia, Catia Cucchiarini +1
Automatic reading aloud evaluation can provide valuable support to teachers by enabling more efficient scoring of reading exercises. However, research on reading evaluation systems…
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…