2 papers
eess.AS2025
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…
eess.AS2024
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,…