4 papers
Energy-Efficient Wireless LLM Inference via Uncertainty and Importance-Aware Speculative Decoding
Jihoon Park, Seungeun Oh, Seong-Lyun Kim
To address the growing demand for on-device LLM inference in resource-constrained environments, hybrid language models (HLM) have emerged, combining lightweight local models with p…
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
Jungil Kong, Junmo Lee, Jeongmin Kim +5
In this work, we propose a novel method for modeling numerous speakers, which enables expressing the overall characteristics of speakers in detail like a trained multi-speaker mode…
VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design
Jungil Kong, Jihoon Park, Beomjeong Kim +3
Single-stage text-to-speech models have been actively studied recently, and their results have outperformed two-stage pipeline systems. Although the previous single-stage model has…
SplitAMC: Split Learning for Robust Automatic Modulation Classification
Jihoon Park, Seungeun Oh, Seong-Lyun Kim
Automatic modulation classification (AMC) is a technology that identifies a modulation scheme without prior signal information and plays a vital role in various applications, inclu…