Development of Speech Recovery System for impaired

日本目前正在迅速老龄化。与此同时，言语障碍患者的数量每年都在增加，而且发病率随着年龄的增长而增加。他们通常能够与语音替代品进行交流，但这些替代品通常不能提供足够的声音频率范围以在对话中被理解。因此，我们提出了一种基于身体传导语音识别的语音支持系统。该系统通过传递函数从身体传导的声音中检索语音，使用识别来选择子词序列及其持续时间。在这项研究中，我们证明了使用线性预测系数代替传递函数产生清晰的身体传导语音的有效性。为了确认生成语音的改善，使用了陪审团测试和发音特征分析

Japan is currently rapidly aging. Concurrently, the number of patients suffering speech disorders is increasing every year, and the incidence is higher as age increases. They are often able to communicate with speech substitutes, but these typically do not provide a sufficient sound frequency range to be understood in conversation.Therefore, we proposed a speech support system using body-conducted speech recognition.This system retrieves speech from body-conducted sound via a transfer function, using recognition to select a sub-word sequence and its duration. In this study, we demonstrate the effectiveness of producing clear body-conducted speech using a linear predictive coefficient instead of a transfer function. To confirm the improvement in generated speech, a jury test and articulatory feature analysis were employed