activity
20182022
most citedSeparation of Instrument Sounds using Non-negative Matrix Factorization with Spectral Envelope Constraints

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2022

CochlScene: Acquisition of acoustic scene data using crowdsourcing

Il-Young Jeong, Jeongsoo Park

This paper describes a pipeline for collecting acoustic scene data by using crowdsourcing. The detailed process of crowdsourcing is explained, including planning, validation criter…

cs.CV2022

RGB no more: Minimally-decoded JPEG Vision Transformers

Jeongsoo Park, Justin Johnson

Most neural networks for computer vision are designed to infer using RGB images. However, these RGB images are commonly encoded in JPEG before saving to disk; decoding them imposes…

cs.SD2020★ 2 cited

Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning

Sungkyun Chang, Donmoon Lee, Jeongsoo Park +4

Most of existing audio fingerprinting systems have limitations to be used for high-specific audio retrieval at scale. In this work, we generate a low-dimensional representation fro…

cs.SD2019

Enhancing Music Features by Knowledge Transfer from User-item Log Data

Donmoon Lee, Jaejun Lee, Jeongsoo Park +1

In this paper, we propose a novel method that exploits music listening log data for general-purpose music feature extraction. Despite the wealth of information available in the log…

cs.SD2018★ 3 cited

Separation of Instrument Sounds using Non-negative Matrix Factorization with Spectral Envelope Constraints

Jeongsoo Park, Jaeyoung Shin, Kyogu Lee

Spectral envelope is one of the most important features that characterize the timbre of an instrument sound. However, it is difficult to use spectral information in the framework o…