Evaluation of generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm in hearing aids. - Ying-Hui Lai; Yu-Cheng Su; Yu Tsao 001; Shuenn-Tsong Young (ISCE, 2013)

An adaptive envelope compression strategy for speech processing in cochlear implants. - Ying-Hui Lai; Fei Chen 011; Yu Tsao 001 (INTERSPEECH, 2014)

Automatic speech recognition with primarily temporal envelope information. - Payton Lin; Fei Chen 011; Syu-Siang Wang; Ying-Hui Lai; Yu Tsao 001 (INTERSPEECH, 2014)

Effect of adaptive envelope compression in simulated electric hearing in reverberation. - Ying-Hui Lai; Fei Chen 011; Yu Tsao 001 (ISIC, 2014)

Improving denoising auto-encoder based speech enhancement with the speech parameter generation algorithm. - Syu-Siang Wang; Hsin-Te Hwang; Ying-Hui Lai; Yu Tsao 001; Xugang Lu; Hsin-Min Wang; Borching Su (APSIPA, 2015)

A discriminative post-filter for speech enhancement in hearing aids. - Ying-Hui Lai; Syu-Siang Wang; Pei-Chun Li; Yu Tsao 001 (ICASSP, 2015)

Audio-visual speech enhancement using deep neural networks. - Jen-Cheng Hou; Syu-Siang Wang; Ying-Hui Lai; Jen-Chun Lin; Yu Tsao 001; Hsiu-Wen Chang; Hsin-Min Wang (APSIPA, 2016)

Post-filtering Technique Using Band Importance Function for Speech Intelligibility Enhancement. - Ying-Hui Lai; Shih-Tsang Tang; Pei-Chun Li (BigMM, 2016)

Segmental Contribution to Predicting Speech Intelligibility in Noisy Conditions. - Lei Wang 074; Fei Chen 011; Ying-Hui Lai (BigMM, 2016)

Improving the performance of speech perception in noisy environment based on an FAME strategy. - Ying-Hui Lai; Syu-Siang Wang; Yu-Ting Su; Cheng Han-Che; Fan Kang Fu; Yu Tsao 001 (ISCSLP, 2016)

Maximum Entropy Learning with Deep Belief Networks. - Payton Lin; Szu-Wei Fu; Syu-Siang Wang; Ying-Hui Lai; Yu Tsao 001 (Entropy, 2016)

Modeling speech intelligibility with recovered envelope from temporal fine structure stimulus. - Fei Chen 011; Yu Tsao 001; Ying-Hui Lai (Speech Commun., 2016)

Generalized maximum a posteriori spectral amplitude estimation for speech enhancement. - Yu Tsao 001; Ying-Hui Lai (Speech Commun., 2016)

Wavelet Speech Enhancement Based on Nonnegative Matrix Factorization. - Syu-Siang Wang; Alan Chern; Yu Tsao 001; Jeih-weih Hung; Xugang Lu; Ying-Hui Lai; Borching Su (IEEE Signal Process. Lett., 2016)

A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise. - Syu-Siang Wang; Yu Tsao 001; Hsiao-Lan Sharon Wang; Ying-Hui Lai; Lieber Po-Hung Li (APSIPA, 2017)

A locally linear embbeding based postfiltering approach for speech enhancement. - Yi-Chiao Wu; Hsin-Te Hwang; Syu-Siang Wang; Chin-Cheng Hsu; Ying-Hui Lai; Yu Tsao 001; Hsin-Min Wang (ICASSP, 2017)

Wavelet Speech Enhancement Based on Robust Principal Component Analysis. - Chia-Lung Wu; Hsiang-Ping Hsu; Syu-Siang Wang; Jeih-Weih Hung; Ying-Hui Lai; Hsin-Min Wang; Yu Tsao 001 (INTERSPEECH, 2017)

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]. - Chi-Te Wang; Feng-Chuan Lin; Wei-Zhong Zheng; Shih-Hau Fang; Yu Tsao 001; Ying-Hui Lai (ROCLING, 2017)

以軟體為基礎建構語音增強系統使用者介面 (Development of a software-based User-Interface of Speech Enhancement System) [In Chinese]. - Taowei Wang; Yu Tsao 001; Ying-Hui Lai; Hsiang-Ping Hsu; Chia-Lung Wu (ROCLING, 2017)

A Smartphone-Based Multi-Functional Hearing Assistive System to Facilitate Speech Recognition in the Classroom. - Alan Chern; Ying-Hui Lai; Yi-ping Chang; Yu Tsao 001; Ronald Y. Chang; Hsiu-Wen Chang (IEEE Access, 2017)

Audio-Visual Speech Enhancement based on Multimodal Deep Convolutional Neural Network. - Jen-Cheng Hou; Syu-Siang Wang; Ying-Hui Lai; Jen-Chun Lin; Yu Tsao 001; Hsiu-Wen Chang; Hsin-Min Wang (CoRR, 2017)

S1 and S2 Heart Sound Recognition Using Deep Neural Networks. - Tien-En Chen; Shih-I Yang; Li-Ting Ho; Kun-Hsi Tsai; Yu-Hsuan Chen; Yun-Fan Chang; Ying-Hui Lai; Syu-Siang Wang; Yu Tsao 001; Chau-Chung Wu (IEEE Trans. Biomed. Eng., 2017)

Joint Dictionary Learning-Based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery. - Szu-Wei Fu; Pei-Chun Li; Ying-Hui Lai; Cheng-Chien Yang; Li-Chun Hsieh; Yu Tsao 001 (IEEE Trans. Biomed. Eng., 2017)

A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation. - Ying-Hui Lai; Fei Chen 011; Syu-Siang Wang; Xugang Lu; Yu Tsao 001; Chin-Hui Lee 001 (IEEE Trans. Biomed. Eng., 2017)

Improving the performance of hearing aids in noisy environments based on deep learning technology. - Ying-Hui Lai; Wei-Zhong Zheng; Shih-Tsang Tang; Shih-Hau Fang; Wen-Huei Liao; Yu Tsao 001 (EMBC, 2018)

Hearing aids APP design based on deep learning technology. - Ji-Yan Han; Wei-Zhong Zheng; Ren-Jie Huang; Yu Tsao 001; Ying-Hui Lai (ISCSLP, 2018)

IOS-based Ear Scale application for Clinical Audiology and Otology Usage. - Wen-Huei Liao; Pei-Chun Li; Shuenn-Tsong Young; Ying-Hui Lai; Yu Tsao 001 (ISCSLP, 2018)

SmartHear: A Smartphone-Based Remote Microphone Hearing Assistive System Using Wireless Technologies. - Yu-Cheng Lin; Ying-Hui Lai; Hsiu-Wen Chang; Yu Tsao 001; Yi-ping Chang; Ronald Y. Chang (IEEE Syst. J., 2018)

Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks. - Jen-Cheng Hou; Syu-Siang Wang; Ying-Hui Lai; Yu Tsao 001; Hsiu-Wen Chang; Hsin-Min Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

A joint-feature learning-based voice conversion system for dysarthric user based on deep learning technology. - Ko-Chiang Chen; Hsiu-Wei Yeh; Ji-Yan Hang; Sin-Hua Jhang; Wei-Zhong Zheng; Ying-Hui Lai (EMBC, 2019)

Consonant Classification in Mandarin Based on the Depth Image Feature: A Pilot Study. - Han-Chi Hsieh; Wei-Zhong Zheng; Ko-Chiang Chen; Ying-Hui Lai (INTERSPEECH, 2019)

Adaptive Wiener Gain to Improve Sound Quality on Nonnegative Matrix Factorization-Based Noise Reduction System. - Ying-Hui Lai; Syu-Siang Wang; Chien-Hsun Chen; Sin-Hua Jhang (IEEE Access, 2019)

Multi-objective learning based speech enhancement method to increase speech quality and intelligibility for hearing aid device users. - Ying-Hui Lai; Wei-Zhong Zheng (Biomed. Signal Process. Control., 2019)

Deep-learning-based human motion tracking for rehabilitation applications using 3D image features. - Kai-Yu Chen; Wei-Zhong Zheng; Yu-Yi Lin; Shih-Tsang Tang; Li-Wei Chou; Ying-Hui Lai (EMBC, 2020)

Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System. - Chen-Yu Chen; Wei-Zhong Zheng; Syu-Siang Wang; Yu Tsao 001; Pei-Chun Li; Ying-Hui Lai (INTERSPEECH, 2020)

Speech Reconstruction from The Larynx Vibration Feature Captured by Laser-Doppler Vibrometer Sensor. - Yi-Chieh Lin; Ji-Yan Han; Yu-Min Lin; Wei-Zhong Zheng; Shuenn-Tsong Young; Ying-Hui Lai (APSIPA ASC, 2021)

The Effects of Classification Method and Electrode Configuration on EEG-based Silent Speech Classification. - Changjie Pan; Ying-Hui Lai; Fei Chen 011 (EMBC, 2021)

Data Augmentation Technology for Dysarthria Assistive Systems. - Wei-Chung Chu; Ying-Hsiu Hung; Wei-Zhong Zheng; Ying-Hui Lai (ROCLING, 2021)

A 40nm CMOS SoC for Real-Time Dysarthric Voice Conversion of Stroke Patients. - Tay-Jyi Lin; Chen-Zong Liao; You-Jia Hu; Wei-Cheng Hsu; Zheng-Xian Wu; Shao-Yu Wang; Chun-Ming Huang; Ying-Hui Lai; Chingwei Yeh; Jinn-Shyan Wang (ASP-DAC, 2022)

A Deep Learning Based Approach to Synthesize Intelligible Speech with Limited Temporal Envelope Information. - Ching-Ju Hsiao; Fei Chen; Ji-Yan Han; Wei-Zhong Zheng; Ying-Hui Lai (EMBC, 2022)

Dysarthric Speech Enhancement Based on Convolution Neural Network. - Syu-Siang Wang; Yu Tsao 001; Wei-Zhong Zheng; Hsiu-Wei Yeh; Pei-Chun Li; Shih-Hau Fang; Ying-Hui Lai (EMBC, 2022)

Phonetic posteriorgram-based voice conversion system to improve speech intelligibility of dysarthric patients. - Wei-Zhong Zheng; Ji-Yan Han; Chen-Kai Lee; Yu-Yi Lin; Shu-Han Chang; Ying-Hui Lai (Comput. Methods Programs Biomed., 2022)

Human Motion Tracking Using 3D Image Features with a Long Short-Term Memory Mechanism Model - An Example of Forward Reaching. - Kai-Yu Chen; Li-Wei Chou; Hui-Min Lee; Shuenn-Tsong Young; Cheng-Hung Lin; Yi-Shu Zhou; Shih-Tsang Tang; Ying-Hui Lai (Sensors, 2022)

Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening. - Hsiu-Lien Cheng; Ji-Yan Han; Wei-Zhong Zheng; Yen-Fu Cheng; Yuan-Chia Chu; Chia-Mei Lin; Ming-Chang Chiang; Wen-Huei Liao; Ying-Hui Lai (Sensors, 2022)

An Audio-Visual Speech Enhancement System Based on 3D Image Features: An Application in Hearing Aids. - Yu-Ching Chung; Ji-Yan Han; Bo-Sin Wang; Wei-Zhong Zheng; Kung-Yao Shen; Ying-Hui Lai (APSIPA ASC, 2023)

Comparing the performance of classic voice-driven assistive systems for dysarthric speech. - Wei-Zhong Zheng; Ji-Yan Han; Hsiu-Lien Cheng; Wei-Chung Chu; Ko-Chiang Chen; Ying-Hui Lai (Biomed. Signal Process. Control., 2023)

Effects of Muscle Fatigue and Recovery on the Neuromuscular Network after an Intermittent Handgrip Fatigue Task: Spectral Analysis of Electroencephalography and Electromyography Signals. - Lin-I Hsu; Kai-Wen Lim; Ying-Hui Lai; Chen-Sheng Chen; Li-Wei Chou (Sensors, 2023)

Ambulatory Phonation Monitoring Using Wireless Headphones With Deep Learning Technology. - Ji-Yan Han; Chi-Te Wang; Jia-Hui Li; Ying-Hui Lai (IEEE Syst. J., 2023)

Optical Microphone-Based Speech Reconstruction System With Deep Learning for Individuals With Hearing Loss. - Yu-Min Lin; Ji-Yan Han; Cheng-Hung Lin; Ying-Hui Lai (IEEE Trans. Biomed. Eng., 2023)

Leveraging Deep Learning to Enhance Optical Microphone System Performance with Unknown Speakers for Cochlear Implants. - Ji-Yan Han; Jia-Hui Li; Chan-Shan Yang; Fei Chen; Wen-Huei Liao; Yuan-Fu Liao; Ying-Hui Lai (EMBC, 2024)

Intended Speech Classification with EEG Signals Based on a Temporal Attention Mechanism: A Study of Mandarin Vowels. - Xinyu Wang; Ying-Hui Lai; Fei Chen (EMBC, 2024)

Overcoming The Impact of Different Materials on Optical Microphones For Speech Capture Using Deep Learning. - Yi-Hao Jiang; Jia-Hui Li; Jia-Wei Chen; Yi-Chang Wu; Ying-Hui Lai (O-COCOSDA, 2024)

Turns-amplitude and power spectral analyses of surface EMG for assessing muscle fatigue and recovery during dynamic hand gripping. - Lin-I Hsu; Kai-Wen Lim; Ying-Hui Lai; Yin-Liang Lin; Yu-Jen Chen; Chen-Sheng Chen; Li-Wei Chou (Comput. Biol. Medicine, 2025)