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20222026
most citedSparse autoencoders reveal selective remapping of visual concepts during adaptation

2 citations · 5 across the 67 of their papers we have counts for

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cs.SD2026

HiPLEX: Hierarchical Policy Factorization for Full Duplex Speech Language Models

Kyudan Jung, Hyunsin Park, Yoonhyung Lee +5

As human--AI interactions become more conversational, full-duplex speech language models capable of natural real-time dialogue are growing in importance. Beyond generating appropri…

cs.SD2026

Hiding Tool Latency in On-Device Cascaded Voice Agent through Speculative Execution

Kyudan Jung, Hyunsin Park, Yoonhyung Lee +5

Tool-augmented speech assistants typically serialize automatic speech recognition, large language model inference, and external tool execution. As a result, tool latency is incurre…

cs.SD2026

Tracing and Relearning Detection Evidence in Text-to-Speech Systems

Eunji Shin, Kyudan Jung, Jihwan Kim +2

Recent audio deepfake detectors separate bona fide speech from synthetic speech, yet it remains unclear which stage of a text-to-speech system supplies the detection evidence. We a…

cs.SD2026

Joint Analysis of Latent Dimensionality and Frame Rate in Continuous Audio Encoders

Kyudan Jung, Sehyun Lee, Song-ha Jo +4

Continuous audio encoders compress audio along feature and time axes through latent width and frame rate, but their joint effect on downstream performance remains unclear. We train…

cs.SD2026

Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models

Kyudan Jung, Jihwan Kim, Soyoon Kim +3

As the paradigm of AI shifts from text-based LLMs to Speech Language Models (SLMs), there is a growing demand for full-duplex systems capable of real-time, natural human-computer i…

cs.SD2026

SLICE: Speech Enhancement via Layer-wise Injection of Conditioning Embeddings

Seokhoon Moon, Kyudan Jung, Jaegul Choo

Real-world speech is often corrupted by multiple degradations simultaneously, including additive noise, reverberation, and nonlinear distortion. Diffusion-based enhancement methods…

cs.SD2026

SNAP: Speaker Nulling for Artifact Projection in Speech Deepfake Detection

Kyudan Jung, Jihwan Kim, Minwoo Lee +4

Recent advancements in text-to-speech technologies enable generating high-fidelity synthetic speech nearly indistinguishable from real human voices. While recent studies show the e…