3 papers
cs.CL2026
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…
cs.CL2026
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…
eess.AS2026
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…