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Kai-Chieh Huang

CCRMA Role: 
Masters Student
Years Attended: 
09/2014 - 06/2016
Preferred Email (public): 
kaichieh@stanford.edu
URL: 
https://ccrma.stanford.edu/~kaichieh/myWeb/KaiChiehHuang.html
About Me: 
 
Kai-Chieh (Jay) Huang is a guitarist and engineer who is enthusiastic about bringing the mixture of music, DSP and computing into real life applications to improve the way people engage in music and sound. Orininally from Taiwan, he attended National Tsing Hua University and earned a Bachelor of Science degree in Electrical Engineering, focusing on signal processing track, with a minor in Quantitative Finance. 

In the persuit of combining music and engineering in an interesting way, Kai-Chieh has immersed himself in several music technology experiences. In the past, Kai-Chieh has helped develop two guitar effects in the guitar-bass multi-FX App -JamUp- on iOS platform as an intern at PositiveGrid. He also did a guitar sound synthesis project with Prof. Yi-Wen Liu while at National Tsing Hua University to improve the sound quality of  low quality quitar recordings. Through the exposure of inventive nature at Stanford, he extended his passion in Engineering into software design and created a real-time music interactive game "NoteBomber" in the course Music, Computing, and Design by Prof. Ge Wang. His current research interests include Music software Design, Digital Audio Effects, and Adaptive Signal Processing. 

In his free time, Kai-Chieh likes to play guitar, especially jamming blues, covering rock songs from Guns' n Roses and AC/DC, and record short music pieces.  Aside from his love in music and technology, he also likes to play basketball and researching potential investments.
 
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Winter Quarter 2021

1A Music, Mind, & Human Behavior
101
 
Introduction to Creating Electronic Sound
220B Compositional Algorithms, Psychoacoustics, and Computational Music
222 Sound in Space
250C Interaction - Intermedia - Immersion
251 Psychophysics and Music Cognition
253 Symbolic Musical Information
285 Intermedia Lab
320B Introduction to Audio Signal Processing Part II: Digital Filters
422 Perceptual Audio Coding
451A Basics in Auditory and Music Neuroscience
 

 

 

 

   

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