45 citations · 62 across the 6 of their papers we have counts for
5 papers · 1 filter
PerMix: Anomalous sound detection by predicting the perturbation ratio of mixed samples
Jihoon Choi, Jung-Woo Choi
In anomalous sound detection based on self-supervised learning, the performance of the detection model largely depends on the selection of the pretext task through which the charac…
DeFTAN-II: Efficient Multichannel Speech Enhancement with Subgroup Processing
Dongheon Lee, Jung-Woo Choi
In this work, we present DeFTAN-II, an efficient multichannel speech enhancement model based on transformer architecture and subgroup processing. Despite the success of transformer…
Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge
Yusun Shul, Byeong-Yun Ko, Jung-Woo Choi
Localizing sounds and detecting events in different room environments is a difficult task, mainly due to the wide range of reflections and reverberations. When training neural netw…
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement
Dongheon Lee, Jung-Woo Choi
In this study, we propose a dense frequency-time attentive network (DeFT-AN) for multichannel speech enhancement. DeFT-AN is a mask estimation network that predicts a complex spect…
Inter-channel Conv-TasNet for multichannel speech enhancement
Dongheon Lee, Seongrae Kim, Jung-Woo Choi
Speech enhancement in multichannel settings has been realized by utilizing the spatial information embedded in multiple microphone signals. Moreover, deep neural networks (DNNs) ha…