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

90 citations · 178 across the 45 of their papers we have counts for

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5 papers · 1 filter

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…

cs.SD2026

Clustering Unsupervised Representations as Defense against Poisoning Attacks on Speech Commands Classification System

Thomas Thebaud, Sonal Joshi, Henry Li +4

Poisoning attacks entail attackers intentionally tampering with training data. In this paper, we consider a dirty-label poisoning attack scenario on a speech commands classificatio…

eess.AS2026

DiT-Flow: Speech Enhancement Robust to Multiple Distortions based on Flow Matching in Latent Space and Diffusion Transformers

Tianyu Cao, Helin Wang, Ari Frummer +7

Recent advances in generative models, such as diffusion and flow matching, have shown strong performance in audio tasks. However, speech enhancement (SE) models are typically train…

eess.AS2026

Reconstruct! Don't Encode: Self-Supervised Representation Reconstruction Loss for High-Intelligibility and Low-Latency Streaming Neural Audio Codec

Junhyeok Lee, Xiluo He, Jihwan Lee +6

Neural audio codecs optimized for mel-spectrogram reconstruction often fail to preserve intelligibility. While semantic encoder distillation improves encoded representations, it do…