計畫團隊成員
技術亮點 Technical Highlights
技術與產品現況
1) 未有(構音異常)口譯輔具及概念。
2) 多數產品著重在電腦字卡輔助患者教育/復健訓練。
成果亮點-關鍵技術
1) 首創並展示中風與腦麻病患構音異常聲音轉換先例。
2) 提升VC效益,並降低90%病人訓練負擔。
3) 進化DNN-Based VC技術為構音異常病患之隨身溝通輔具技術。
4) 建構單一功能隨身溝通輔具雛形,以成為健保給付之可能或可行方案。
5) 低功耗DNN設計+低漏電近鄰界電壓電路技術,降低>80%功耗。
Dysarthria is a common problem of patients with neurological diseases, such as stroke or the Parkinson’s disease, which affects their quality of life.>
The 4-year project “Auditory-Cognition AI System and System-on-Chip Designs for Dysarthria” will develop AI-based dysarthria-voice-conversion, low-power embedded system, and system-on-a-chip design technologies for achieving the goal of “Speak for Dysarthria.”
In the first-year project term, a pure-software-based Dysarthria Voice Conversion (DVC) prototype device running on a 667-MHz-dual-Cortex-A9-Zynq platform has been designed and constructed, which can perform inside tests of converting a dysarthria voice into an intelligible one in less than 1 second.
In the first-year project term, a pure-software-based Dysarthria Voice Conversion (DVC) prototype device running on a 667-MHz-dual-Cortex-A9-Zynq platform has been designed and constructed, which can perform inside tests of converting a dysarthria voice into an intelligible one in less than 1 second.