most citedCovo-Audio Technical Report

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

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cs.SD2026

VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents

Jiliang Hu, Wenfu Wang, Zuchao Li +6

Recent advances in large audio language models (LALMs) have greatly enhanced multimodal conversational systems. However, existing benchmarks remain limited -- they are mainly Engli…

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

DegDiT: Controllable Audio Generation with Dynamic Event Graph Guided Diffusion Transformer

Yisu Liu, Chenxing Li, Wanqian Zhang +6

Controllable text-to-audio generation aims to synthesize audio from textual descriptions while satisfying user-specified constraints, including event types, temporal sequences, and…

cs.SD2025

U-Codec: Ultra Low Frame-rate Neural Speech Codec for Fast High-fidelity Speech Generation

Xusheng Yang, Long Zhou, Wenfu Wang +6

We propose \textbf{U-Codec}, an \textbf{U}ltra low frame-rate neural speech \textbf{Codec} that achieves high-fidelity reconstruction and fast speech generation at an extremely low…

cs.SD2025

When Audio Generators Become Good Listeners: Generative Features for Understanding Tasks

Zeyu Xie, Chenxing Li, Xuenan Xu +6

This work pioneers the utilization of generative features in enhancing audio understanding. Unlike conventional discriminative features that directly optimize posterior and thus em…