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20242026
most citedCovo-Audio Technical Report

1 citations · 1 across the 4 of their papers we have counts for

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cs.SD2026

Imitation Learning for Elder-Facing Speech Synthesis

Dongrui Han, Weidong Chen, Jiawen Kang +3

Recent advances in text-to-speech (TTS) synthesis have achieved highly natural and expressive speech generation. However, these systems are designed for general adults and overlook…

cs.LG2026

SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed Behavior

Mingyue Cui, Linghui Shen, Xingyi Yang

Sparse Autoencoders (SAEs) decompose residual-stream activations into interpretable features. Recent latent-space defenses increasingly rely on these decompositions, assuming that…

eess.AS2026

Measuring Prosody Diversity in Zero-Shot TTS: A New Metric, Benchmark, and Exploration

Yifan Yang, Bing Han, Hui Wang +5

Prosody diversity is essential for achieving naturalness and expressiveness in zero-shot text-to-speech (TTS). However, frequently used acoustic metrics capture only partial views…

cs.SD20261 cited

Covo-Audio Technical Report

Wenfu Wang, Chenxing Li, Liqiang Zhang +23

In this work, we present Covo-Audio, a 7B-parameter end-to-end LALM that directly processes continuous audio inputs and generates audio outputs within a single unified architecture…

cs.SD2026

Multi-Channel Speech Enhancement for Cocktail Party Speech Emotion Recognition

Youjun Chen, Guinan Li, Mengzhe Geng +9

This paper highlights the critical importance of multi-channel speech enhancement (MCSE) for speech emotion recognition (ER) in cocktail party scenarios. A multi-channel speech der…