I am currently pursuing my Master's degree in Computer Science at University of California, Santa Cruz. My main research interests lie at the intersection of Machine Learning, Natural Language Processing, Music Information Retrieval, Recommender System and Web Development. I worked as a research intern developing End-to-end Deep Learning System for Natural Language Understanding at Interactions in 2017 Summer. Prior to that, I was a full-time research assistant in Music and Audio Computing Lab (MACLab) at Academia Sinica, Taipei, Taiwan. For the full history, please find my curriculum vitae here.
An automatic guitar solo transcription system that converts music signal into guitar tabs. The system features the automatic guitar playing technique recognition.
Convolutional Neural Networks for content-based automatic music tagging using Keras
A web application that transforms music from Youtube into guitar tabs synced with the video
Joint author: Yu-Kang Hu
A programming language called OLA - OneLineArt, that uses text faces, e.g., \(^-^)/, as tokens
"Without music, life would be a mistake" - Friedrich Nietzsche.
I play electric guitar in the styles of Rock, Pops, Blues and Funk. My favorite artists include Jimi Hendrix, Pink Floyd, Eric Clapton, Red Hot Chili Peppers, Stevie Ray Vaughan, Ringo Sheena, Wubai & China blue, Carlos Santana, Janis Joplin, Lynyrd Skynard, The Beatles and plenty of Taiwanese indie bands (I can go on). I also enjoy Electronic music like chillstep, liquid dubstep, melodic dubstep and house.
Yuan-Ping Chen, Ryan Price, Srinivas Bangalore,
"Spoken Language Understanding without Speech Recognition",
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
Yuan-Ping Chen, Ting-Wei Su, Li Su, Yi-Hsuan Yang,
"TENT: Technique-Embedded Note Tracking for Real-world Guitar Solo Recordings",
Transactions of the International Society for Music Information Retrieval (TISMIR), work in progress.
Yuan-Ping Chen, Li Su, Yi-Hsuan Yang,
"Electric Guitar Playing Technique Detection in Real-world Recordings based on F0 Sequence Pattern Recognition",
Proc. 16th International Society for Music Information Retrieval Conference (ISMIR), Malaga, Spain, Oct. 2015.
[Full paper] [Poster].
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