2019
INTERSPEECH
INTERSPEECH 2019
Acoustic Characteristics of Lexical Tone Disruption in Mandarin Speakers After Brain Damage
Abstract
This study identifies the acoustic characteristics of tones produced by Mandarin brain-damaged patients. We investigate the F0 characteristics of the patients’ tone productions and compare them with a control group of healthy speakers. The results show tone disruption in patients with brain damage in either the left or the right hemisphere. Even patients’ tone productions that were correctly identified by Mandarin native speakers were acoustically different from the ones produced by healthy speakers. The patterns of tone disruption in Mandarin brain-damaged patients might be caused by damage to the motor function in the brain.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Keyword Pioneer
— tone disruption
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Speech & Audio