1 citations · 1 across the 6 of their papers we have counts for
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StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models
Yeona Hong, Hyewon Han, Woo-jin Chung +1
In this paper, we propose StableQuant, a novel adaptive post-training quantization (PTQ) algorithm for widely used speech foundation models (SFMs). While PTQ has been successfully…
Optimization of DNN-based speaker verification model through efficient quantization technique
Yeona Hong, Woo-Jin Chung, Hong-Goo Kang
As Deep Neural Networks (DNNs) rapidly advance in various fields, including speech verification, they typically involve high computational costs and substantial memory consumption,…
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-…