2024 INTERSPEECH INTERSPEECH 2024

Training speech-breathing coordination in computer-assisted reading

Abstract

Aims of this study are: 1) identify respiratory features that could serve as objective markers of fluency of aloud reading; 2) investigate the effects of computer-assisted training on the improvement of speech-breathing coordination. Our training method combines the principles of repeated and assisted close-shadowed reading. Reading assistance takes over the principles of karaoke: highlighting text units in sync with pre-recorded adult performance. The aloud reading of 66 French young pupils is studied. They were divided into 3 groups: control (repeated reading only with no assistance), trained with word highlighting vs. trained with word and breath group highlighting. All children were recorded before and after 3 weeks of training while reading both a trained and an untrained text. The results indicated that respiratory planning and pauses management improved by computer-assisted reading training. However, there was no significant transfer of these improvements to the untrained text.

🧭 Keyword Pioneer — speech breathing coordination
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio