Yunjoo Lee — accepted AI-conference papers

2023

Activity-Informed Industrial Audio Anomaly Detection Via Source Separation

Jaechang Kim, Yunjoo Lee, Hyun Mi Cho, Dong Woo Kim, Chi Hoon Song, Jungseul Ok

ICASSP 2023accepted

We discuss a practical scenario of anomaly detection for industrial sound data where the sound of a target machine is corrupted by not only noise from plant environments but also interference from neighboring machines. This is particularly challenging since the interfering sounds are virtually indis…

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2022

Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution

Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok

ICASSP 2022accepted

Audio super resolution aims to predict the missing high resolution components of the low resolution audio signals. While audio in nature is a continuous signal, current approaches treat it as discrete data (i.e., input is defined on discrete time domain), and consider the super resolution over a fix…

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