GCT634 Fall 2022
Musical Applications of Machine Learning
Final Projects
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ECG-To-TEXT: Clinical Reports Generation Conditioned on Electrocardiogram
Jiho Kim, Daeun Kyung, Eunbyeol Cho
[report]
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Neural Audio Fingerprinting
Jongsoo Kim, Hyunjae Kim, Hail Song
[report]
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S.E.S.: String Ensemble Separation
Da-Yun Choi, Taehun Choe
[report]
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Voice Is All You Need: Music Production via Voice Transcription
Hyeyoon Cho, Megan Elisabeth Finch, Yonghyun Kim
[report]
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Diffusion Model-Based Voice Conversion
Sohee Han, Hangyul Yoon
[report]
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Multi-modal Highlight Detection in Live Streaming Video
Chang Wook Seo, Jimin Choi
[report]
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Investigating the Correlation Between Music and Dance Motion
Yerim Shin, Vanessa Tan, Soojin Choi
[report]
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Automatic Piano Reduction Generation Controlling Performance Difficulty
Hayeon Bang, Hanung Lee
[report]
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An Empirical Analysis of Beyond- Accuracy Objectives in Music Co-creation
Yoosang Yoon, Jinu Choi
[report]
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[Best Final Project] Lyrics Generation from Music Prompt
Hyeongkeun Lee, Kihyun Nam, Kyeongha Rho
[report]
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[Best Final Project] Singer Filter: Speaker Conditioned Multi-singer Separation
Doyeop Kwak, Jaemin Jung
[report]
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Evaluation Protocol for Audio-Language Representations
Jongbin Woo, Youkyum Kim
[report]
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PiaMotion: Pianist Motion Dataset and Expressive Style Classification Model
Jaeran Choi, Sojeong Kim, Jiyeon Lee
[report]
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What brings out emotion: melodies, or instruments?
Mir Majid Molaie, Wonjun Kim, Yewon Lee
[report]