Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2014
Surface electromyographic control of speech synthesis.
СтатьяПоддержка NIH: внешняя программаПоддержка правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Cler Meredith J, Nieto-Castanon Alfonso, Guenther Frank H, Stepp Cara E
Аннотация
Individuals with very high spinal cord injuries (e.g. C1-C3) may be ventilator-dependent and therefore unable to support speech breathing. However, their facial musculature is intact, given that these muscles are innervated by cranial nerves. We developed a system using surface electromyography (sEMG) recorded from facial muscles to control a phonemic interface and voice synthesizer and tested the system in healthy individuals. Users were able to use five facial gestures to control an onscreen cursor and the phonemic interface. Users had mean information transfer rates (ITRs) of 59.5 bits/min when calculating ITRs using the number of phonemes selected. To compare with orthographic systems, ITRs were also calculated using the equivalent number of letters required to spell the selected word. With this calculation, users had a mean ITR of 70.1. Results are promising for further development and testing in individuals with high spinal cord injuries.