معرفی
Alexander Kain is an instructor in the Computer Science & Engineering and Electrical Engineering Graduate Programs. He holds a Ph.D. from Oregon Graduate Institute (2001). His research focuses on analyzing, processing, and synthesizing biological signals, particularly human speech. Key projects include developing a pronunciation analysis system for children with speech disorders, enhancing Text-to-Speech systems for personalized voices, and creating non-invasive sleep apnea screening methods. He teaches courses such as CS 627 Data Science Programming and EE 658 Signal Processing.
His recent work emphasizes improving speech intelligibility for individuals with speech or hearing impairments through voice conversion and acoustic analysis. Notable contributions include studies on bimodal stimulation effects on consonant perception (2024), respiratory event detection using neural networks (2020), and acoustic correlates of speech disorders (2021-2022).
Alexander’s research integrates signal processing, biomedical engineering, and machine learning to address clinical challenges. Collaborations involve the Center for Spoken Language Understanding (CSLU), evident in his publications and grant-funded projects like HCC: Medium (2010) and HCC: High-Quality Compression (2007).
