A 40nm CMOS SoC for Real-Time Dysarthric Voice Conversion of Stroke Patients
Author:
Affiliation:
1. SoC Research Center, National Chung Cheng University (CCU),Chiayi,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9712466/9712479/09712584.pdf?arnumber=9712584
Reference6 articles.
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2. Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia
3. 14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications
4. A deep-learning-based voice conversion system for dysarthria speakers;lai;Proc ASHA,2018
5. sprocket: Open-Source Voice Conversion Software
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