activity
20152026
most citedListen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition

90 citations · 217 across the 74 of their papers we have counts for

collaborators

94 papers

eess.AS2026

Probing Neural Audio Codecs with Speaker Traits and Speech Characteristics

Jihwan Lee, Tiantian Feng, Minu Kim +6

Neural audio codecs are increasingly used for low-bitrate speech coding and serve as tokenizers for speech language models, yet it remains unclear how their codebook hierarchies en…

eess.SP2026

MyoCodec: A Streaming Neural Codec for Electromyography

Jihwan Lee, Kleanthis Avramidis, Junhyeok Lee +3

Neural codecs encode continuous signals into compact sequences of discrete tokens, providing an interface for efficient transmission, storage, and token-based sequence modeling. Th…

cs.AI2026

Nutri-ATLAS: Embodied Agent for Tabulated Lookup and Assistance for Smarter nutrition

Uttej Kallakuri, Boxun Hu, Ankur A. Butala +2

Generative and Agentic IoT systems offer a promising foundation for digital healthcare applications that combine sensing, personalized reasoning, and autonomous interaction in real…

cs.MA2026

Who Are They to Each Other? Multi-Agent Reasoning for Speaker Relationship Inference

Yaohan Guan, Yen-Ju Lu, Yuzhe Wang +5

Inferring speaker relationships from spoken conversations is an important step towards socially aware speech understanding. However, this task remains underexplored, and supervised…

cs.CL2026

When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded Dialogue

Yen-Ju Lu, Yuzhe Wang, Yaohan Guan +8

Understanding spoken dialogue requires joint reasoning over lexical content and paralinguistic acoustic signals such as emotion and conversational intent. However, existing evaluat…

eess.AS2026

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection

Mingrui Liang, Thomas Thebaud, Lukasz Wojciak +4

Recent advances in speech synthesis and voice conversion, which pose threats to security and privacy, have underscored the need for deepfake detection technology. Although existing…