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20242026
most citedA Survey on Speech Large Language Models for Understanding

6 citations · 8 across the 17 of their papers we have counts for

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8 papers · 1 filter

cs.MM2026

MVWeaver: A Hierarchical Music Video Generation Agent with a Learned Song-to-Visual Bridge

Sifei Li, Minyan Luo, Xu Li +7

Music videos are an important form of audiovisual expression in contemporary culture. They translate and extend the expressive content of songs through deliberate visual design. Ex…

cs.SD2026

Closing the Verification Loop: Self-Check Captioning for Long-Paragraph Detailed Audio Captioning

Fengji Ma, Yan Rong, Xu Li +3

Long-paragraph detailed audio captioning, which requires dense and transcript-faithful descriptions of fine-grained audio content, remains unsolved for current audio-visual multimo…

cs.SD2026

ACE-Cap: Active Evidence Acquisition via Agentic Co-Evolution for Long-Paragraph Fine-Grained Audio Captioning

Fengji Ma, Yan Rong, Xu Li +3

Long-paragraph fine-grained audio captioning requires models to recover diverse acoustic facts while avoiding omissions and unsupported details. However, prevailing captioners rema…

cs.SD2026

SingDance: Compositional Zero-Shot Singing-and-Dancing Video Generation with Role-Aware Audio Conditioning

Tao Feng, Xu Li, Xiangyang Luo +4

Generating personalized dance videos from a reference image, text prompt, and audio track requires music-conditioned body motion. Singing-and-dancing adds a second requirement: the…

cs.SD2026

SonicWeave: Chunk-Routed Mixture-of-Experts for Unified Audio Scene Generation

Yunrui Cai, Xu Li, Yucheng Zhou +8

Text-conditioned general audio generation is moving beyond isolated speech, music, and sound-effect synthesis toward a single model that can compose them into controllable, coheren…

cs.SD2026

AudioMap: Cloze-and-Choice Reinforcement Learning for Time-Aware Dense Audio Captioning

Yan Rong, Fengji Ma, Xu Li +3

Time-aware dense audio captioning (TDAC) aims to generate multiple fine-grained attributes (dense) of the audio with precise time boundaries (time-aware). Existing methods struggle…

cs.SD2026

FlexiSLM: A Spoken Language Model with Dynamic and Controllable Frame Rates

Jiaqi Li, Chaoren Wang, Xiaohai Tian +9

Spoken language models (SLMs) extend LLMs to speech input and output, but existing systems use fixed frame rates (e.g., 25 or 12.5 Hz), overlooking speech's time-varying informatio…

cs.SD2026

SegTune: Structured and Fine-Grained Control for Song Generation

Yuejiao Wang, Zihao Ji, Pengfei Cai +6

Recent advances in neural song generation have enabled high-quality synthesis from lyrics and global textual prompts. However, most systems fail to model temporally varying attribu…