Language, speech, and hearing services in schools · 2024
Remote Microphones Support Speech Recognition in Noise and Reverberation for Children With a Language Disorder.
СтатьяНазвание 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.
Gordon Katherine R, Lewis Dawna, Lowry Stephanie, Smith Maggie, Stecker G Christopher, McCreery Ryan W
Аннотация
PURPOSE: Children with typical hearing and various language and cognitive challenges can struggle with processing speech in background noise. Thus, children with a language disorder (LD) are at risk for difficulty with speech recognition in poorer acoustic environments.
METHOD: The current study compared the effects of background speech-shaped noise (SSN) with and without reverberation on sentence recognition for children with LD (n = 9) and typical language development (TLD; n = 9). We also investigated whether the use of a remote microphone (RM) improved speech recognition for children with LD.
RESULTS: Children with LD demonstrated poorer sentence recognition than peers with TLD in SSN. Both groups had poorer sentence recognition with SSN + reverberation than SSN alone. Notably, using an RM improved speech recognition for children with LD in SSN and SSN + reverberation.
CONCLUSION: We discuss educational implications and future research questions to identify how to optimally support speech recognition in noisy environments for children with LD.
SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.28037984.
METHOD: The current study compared the effects of background speech-shaped noise (SSN) with and without reverberation on sentence recognition for children with LD (n = 9) and typical language development (TLD; n = 9). We also investigated whether the use of a remote microphone (RM) improved speech recognition for children with LD.
RESULTS: Children with LD demonstrated poorer sentence recognition than peers with TLD in SSN. Both groups had poorer sentence recognition with SSN + reverberation than SSN alone. Notably, using an RM improved speech recognition for children with LD in SSN and SSN + reverberation.
CONCLUSION: We discuss educational implications and future research questions to identify how to optimally support speech recognition in noisy environments for children with LD.
SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.28037984.