40 citations · 96 across the 15 of their papers we have counts for
8 papers · 1 filter
DJustify: Reason-and-Verify DJ Planning for Pop Transitions and Story-Driven Sets
Wei-Han Hsu, Li-Jie Lin, Po-Hsuan Lai +4
Automatic DJ systems mostly target electronic dance music, whose regular structure makes rule-based mixing relatively easier. Vocal-rich popular music is harder: which track to pla…
Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion
Wei-Han Hsu, Chih-Cheng Chang, Bo-Yu Chen +2
Automatic Drum Transcription (ADT) is commonly formulated as a direct mapping from a music mixture to symbolic drum events. While effective for transcription, this formulation disc…
A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription
Sangeon Yong, Li Su, Juhan Nam
Note-level automatic music transcription is one of the most representative music information retrieval (MIR) tasks and has been studied for various instruments to understand music.…
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data
Kin Wai Cheuk, Dorien Herremans, Li Su
Most of the current supervised automatic music transcription (AMT) models lack the ability to generalize. This means that they have trouble transcribing real-world music recordings…
Omnizart: A General Toolbox for Automatic Music Transcription
Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen +4
We present and release Omnizart, a new Python library that provides a streamlined solution to automatic music transcription (AMT). Omnizart encompasses modules that construct the l…
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer
Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang +2
Style transfer of polyphonic music recordings is a challenging task when considering the modeling of diverse, imaginative, and reasonable music pieces in the style different from t…
Vocal melody extraction using patch-based CNN
Li Su
A patch-based convolutional neural network (CNN) model presented in this paper for vocal melody extraction in polyphonic music is inspired from object detection in image processing…
Between Homomorphic Signal Processing and Deep Neural Networks: Constructing Deep Algorithms for Polyphonic Music Transcription
Li Su
This paper presents a new approach in understanding how deep neural networks (DNNs) work by applying homomorphic signal processing techniques. Focusing on the task of multi-pitch e…