Summary
Huang-Cheng Chou is a Postdoctoral Scholar and NSTC Fellow with a Ph.D. in Electrical Engineering, specializing in speech emotion recognition and affective computing. Over a decade he has translated academic insight into production gains—creating benchmarks and training methods that boosted data utilization by 12%+ and model accuracy by up to 25%, while achieving >30% model compression for deployment. His industry experience includes improving Alexa ASR with SER features (29%+ WER improvement) and integrating streaming emotion recognition into edge devices at RealTek. With 37+ peer-reviewed publications and cross-continental research stints (including UT Dallas and National Taiwan University), he blends rigorous annotation studies on human subjectivity with work on audio-centric LLMs and instruction-guided TTS. Based in Los Angeles, he combines deep algorithmic expertise with practical systems optimization, often focusing on robustness and calibration in real-world settings. An understated strength is his track record of turning subjective, noisy emotion labels into measurable performance gains that scale from lab to product.
10 years of coding experience
10 years of employment as a software developer
Visiting PHD Student, Electrical and Computer Engineering, Visiting PHD Student, Electrical and Computer Engineering at The University of Texas at Dallas
Doctor of Philosophy - PhD, Electrical Engineering, 3.82/4.0, Doctor of Philosophy - PhD, Electrical Engineering, 3.82/4.0 at National Tsing Hua University
Chinese, English, Mandarin