Chuck-jee Chau- BEng(CE); MSc(CSE); PhD(CSE); LRSM(Piano); MA(Music); ATCL(Percussion)
- Lecturer at Chinese University of Hong Kong
Chuck-jee Chau
- BEng(CE); MSc(CSE); PhD(CSE); LRSM(Piano); MA(Music); ATCL(Percussion)
- Lecturer at Chinese University of Hong Kong
My popsci articles on computer music research for Chinese readers: https://medium.com/computer-music-research-notes
About
23
Publications
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Introduction
Chuck-jee Chau obtained his PhD from the Hong Kong University of Science and Technology (HKUST), focusing on timbre analysis and music emotion. He earned his BEng in Computer Engineering from the Chinese University of Hong Kong (CUHK) with a minor in Music.
He has developed and started the first computer music UG course in CUHK in 2019. Outside of computer music research, he is also a versatile collaborative pianist and mallet percussionist active in chamber music performances.
Current institution
Additional affiliations
May 2006 - June 2006
September 2007 - August 2012
September 2012 - August 2018
Education
September 2013 - July 2017
September 2011 - July 2012
September 2006 - August 2011
Publications
Publications (23)
The piano is an instrument extensively used in classical, jazz, and pop music since its broad pitch range and ample dynamic levels allow the instrument to become self-contained and versatile for various kinds of music. We conducted listening tests to compare the effects of pitch and dynamics on the emotional characteristics of isolated one-second p...
The mallet percussion instruments are gaining attention in modern music arrangements, especially in movie soundtracks and synthesized furniture music. Using a combination of these instruments, a reasonable variety of timbres and pitches are possible. Players can further choose mallets of different makes, which in turn significantly alter the timbre...
The piano is an instrument extensively used in classical, jazz, and pop music, since its broad pitch range and ample dynamic levels allow the instrument to become self-contained and versatile for various kinds of music. Previous work has found the piano to be emotionally neutral among eight tested non-sustaining instruments. This paper further expl...
Recent research has shown the connection between timbre and music emotion and has focused on sustaining instruments. This paper undertakes listening tests to investigate the connection for nonsustaining instruments including plucked string, pitched percussion, and keyboard sounds compared pairwise by listening test subjects over eight emotional cat...
Music conveys emotions by means of pitch, rhythm, loudness, and many other musical qualities. It was recently confirmed that timbre also has direct association with emotion, for example, that a horn is perceived as sad and a trumpet heroic in even isolated instrument tones. As previous work has mainly focused on sustaining instruments such as bowed...
Automatic Music Transcription (AMT) of piano music is a well-established study area. This paper addresses the broader problem
of generating MIDI piano covers for pop music automatically. This is a more challenging task due to the diverse styles and instrumentation of pop music. In addition, there is a lack of large-scale dataset with paired and syn...
To help users improve their piano playing ability and musicality through AI-based analysis of piano pieces or performances, we present work-in-progress on a web application prototype with results presented in an understandable and meaningful way. The performance analysis component analyzes users' recordings to generate scoring and improvement sugge...
Music source separation, referring to the task of decomposing music into its constituent components, has numerous valuable applications, such as home karaoke and music remixing. Recent approaches employ deep learning models based on the encoder-decoder architectures, taking spectrograms and/or waveforms of music as input. In this work, we introduce...
Music is a natural area for experiential learning, since it directly touches us emotionally. In this paper, we describe how we set up an experiential course on sound design. We structured the course as if we were at an LA school for film music. We made each weekly musical assignment a wild Dungeons&Dragons adventure into the dark arts of mood modul...
We have created a guitar virtual instrument by simulating string vibration using a finite difference method to solve a modified one-dimensional wave equation with damping and stiffness, along with a collision system that allows the simulated guitar to perform a variety of articulations. Convolution with impulse response is also used to enhance the...
Recent research has shown that different musical instrument sounds have strong emotional characteristics. It has also shown how these emotional characteristics change with different pitch and dynamics for the piano and solo bowed strings. This paper investigates how the emotional characteristics of the section bowed strings vary with pitch and dyna...
The goals of this paper are the following: (1) To determine the failure rates using Major and Minor as a predictor for positive and negative moods, respectively, (2) To determine the musical features that contributed to making an example a fail case and (3) To determine whether there are significant differences between Natural, Melodic and Harmonic...
Music emotion recognition and recommendation systems often use a simplified 4-quadrant model with categories such as Happy, Sad, Angry, and Calm. Previous research has shown that both listeners and automated systems often have difficulty distinguishing low-arousal categories such as Calm and Sad. This paper seeks to explore what makes the categorie...
Previous work has shown that differentiating positive and negative mood in low-arousal music is difficult, and probably the biggest current bottleneck in automatic music emotion recognition. Researchers generally agree that the mode of the music (i.e., whether Major or Minor) is the primary factor in determining whether the mood is positive or nega...
Emotion is an indispensable aspect in human communication, and various media provide different means of invoking emotions. Music emotion is one popular research topic by the advancement of artificial intelligence, which enables practical usages such as music recommendation based on emotion. Music-making devices on the market also provide interactiv...
Previous research has shown that different musical instrument sounds have strong emotional characteristics. This paper investigates how emotional characteristics vary with pitch and dynamics within the bowed string instrument family. We conducted listening tests to compare the effects of pitch and dynamics on the violin, viola, cello, and double ba...
Music emotion recognition and recommendation systems often use a simplified 4-quadrant model with categories such as Happy, Sad, Angry, and Calm. Previous research has shown that both listeners and automated systems often have difficulty distinguishing low-arousal categories such as Calm and Sad. This paper seeks to explore what makes the categorie...
Previous research has shown that different musical instrument sounds have strong emotional characteristics. This paper investigates how emotional characteristics vary with pitch and dynamics within the bowed string instrument family. We conducted listening tests to compare the effects of pitch and dynamics on the emotional characteristics of the vi...
Timbre evokes emotion in music, as do loudness, pitch, rhythm, and other music qualities. Recent research has confirmed the correlation between timbral features with emotion in isolated musical instrument tones. Attack time, spectral centroid and its deviation have significant correlation with emotional characteristics in tones of sustaining (e.g.,...
