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A joint-feature learning-based voice conversion system for dysarthric user based on deep learning technology., , , , , and . EMBC, page 1838-1841. IEEE, (2019)SmartHear: A Smartphone-Based Remote Microphone Hearing Assistive System Using Wireless Technologies., , , , , and . IEEE Syst. J., 12 (1): 20-29 (2018)Dysarthric Speech Enhancement Based on Convolution Neural Network., , , , , , and . EMBC, page 60-64. IEEE, (2022)Consonant Classification in Mandarin Based on the Depth Image Feature: A Pilot Study., , , and . INTERSPEECH, page 2300-2304. ISCA, (2019)Segmental Contribution to Predicting Speech Intelligibility in Noisy Conditions., , and . BigMM, page 476-480. IEEE Computer Society, (2016)Phonetic posteriorgram-based voice conversion system to improve speech intelligibility of dysarthric patients., , , , , and . Comput. Methods Programs Biomed., (2022)Speech Reconstruction from The Larynx Vibration Feature Captured by Laser-Doppler Vibrometer Sensor., , , , , and . APSIPA ASC, page 829-835. IEEE, (2021)以語音能量特性發展即時語速偵測裝置-前導型研究 (Real-time monitoring device of phonation speed and volume based on speech energy: A pilot study) In Chinese., , , , , and . ROCLING, page 287-294. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2017)Data Augmentation Technology for Dysarthria Assistive Systems., , , and . ROCLING, page 144-150. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2021)Post-filtering Technique Using Band Importance Function for Speech Intelligibility Enhancement., , and . BigMM, page 487-491. IEEE Computer Society, (2016)