From the 1 of 6 linked papers with an AI index.
6 papers
Self-supervised Speech Comparison for L2 Phone, Rhythm, and Intonation Scoring
Stephen McIntosh, Reuben Smit, Daisuke Saito +2
The paper explores using dynamic time warping on self‑supervised WavLM speech representations to automatically score phonetic accuracy, rhythm, and intonation of L2 English and Jap…
Interpreting Speaker Characteristics in the Dimensions of Self-Supervised Speech Features
Kyle Janse van Rensburg, Benjamin van Niekerk, Herman Kamper
How do speech models trained through self-supervised learning structure their representations? Previous studies have looked at how information is encoded in feature vectors across…
Automatically assessing oral narratives of Afrikaans and isiXhosa children
Retief Louw, Emma Sharratt, Febe de Wet +3
Developing narrative and comprehension skills in early childhood is critical for later literacy. However, teachers in large preschool classrooms struggle to accurately identify stu…
Feature-based analysis of oral narratives from Afrikaans and isiXhosa children
Emma Sharratt, Annelien Smith, Retief Louw +3
Oral narrative skills are strong predictors of later literacy development. This study examines the features of oral narratives from children who were identified by experts as requi…
Towards few-shot isolated word reading assessment
Reuben Smit, Retief Louw, Herman Kamper
We explore an ASR-free method for isolated word reading assessment in low-resource settings. Our few-shot approach compares input child speech to a small set of adult-provided refe…
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives
Christiaan Jacobs, Annelien Smith, Daleen Klop +3
We develop automatic speech recognition (ASR) systems for stories told by Afrikaans and isiXhosa preschool children. Oral narratives provide a way to assess children's language dev…