5 papers · 1 filter
Self-supervised Complex Network for Machine Sound Anomaly Detection
Miseul Kim, Minh Tri Ho, Hong-Goo Kang
In this paper, we propose an anomaly detection algorithm for machine sounds with a deep complex network trained by self-supervision. Using the fact that phase continuity informatio…
Style Modeling for Multi-Speaker Articulation-to-Speech
Miseul Kim, Zhenyu Piao, Jihyun Lee +1
In this paper, we propose a neural articulation-to-speech (ATS) framework that synthesizes high-quality speech from articulatory signal in a multi-speaker situation. Most conventio…
BrainTalker: Low-Resource Brain-to-Speech Synthesis with Transfer Learning using Wav2Vec 2.0
Miseul Kim, Zhenyu Piao, Jihyun Lee +1
Decoding spoken speech from neural activity in the brain is a fast-emerging research topic, as it could enable communication for people who have difficulties with producing audible…
C2C: Cough to COVID-19 Detection in BHI 2023 Data Challenge
Woo-Jin Chung, Miseul Kim, Hong-Goo Kang
This report describes our submission to BHI 2023 Data Competition: Sensor challenge. Our Audio Alchemists team designed an acoustic-based COVID-19 diagnosis system, Cough to COVID-…
HappyQuokka System for ICASSP 2023 Auditory EEG Challenge
Zhenyu Piao, Miseul Kim, Hyungchan Yoon +1
This report describes our submission to Task 2 of the Auditory EEG Decoding Challenge at ICASSP 2023 Signal Processing Grand Challenge (SPGC). Task 2 is a regression problem that f…