6 citations · 8 across the 4 of their papers we have counts for
5 papers
Parameter isolation with domain-specific experts for incremental audio classification
Jongyeon Park, Do-Hyeon Lim, Sang-won Park +4
To successfully deploy a model in time-varying environments such as streaming data prediction and sensing control, domain-incremental learning (DIL) has attracted attention since i…
Domain-incremental audio classification using domain-specific experts and prototype classifier
Jongyeon Park, Do-Hyeon Lim, Sang-won Park +4
This technical report presents submission systems for Task 7(domain-incremental audio classification) of the DCASE 2026 Challenge. The main obstacle is that, the system is unable t…
Single Cell Training on Architecture Search for Image Denoising
Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong +1
Neural Architecture Search (NAS) for automatically finding the optimal network architecture has shown some success with competitive performances in various computer vision tasks. H…
Discriminatory and orthogonal feature learning for noise robust keyword spotting
Donghyeon Kim, Kyungdeuk Ko, David K. Han +1
Keyword Spotting (KWS) is an essential component in a smart device for alerting the system when a user prompts it with a command. As these devices are typically constrained by comp…
A Lightweight dynamic filter for keyword spotting
Donghyeon Kim, Kyungdeuk Ko, Jeonggi Kwak +2
Keyword Spotting (KWS) from speech signals is widely applied to perform fully hands-free speech recognition. The KWS network is designed as a small-footprint model so it can contin…