Author

Xiquan Li

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Preprint Sep 2026

TinyAudio: Compact and Efficient Text-to-Audio Generation for Low-Resource Deployment

Text-to-audio (TTA) generation has advanced rapidly in generation quality and instruction following. However, representative systems often require around a billion parameters, limiting deployment on resource-constrained devices. This paper introduces TinyAudio, a compact flow-matching-based TTA model for low-resource d...

Jun-Xi Liu, Xi-Quan Li, Wen-Hao Guan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In OmniVChat, omni models directly and simultaneously receive audio and video from a user and return text. The user's query is embedded in the audio and video, without a separate text question, external c...

Haolin He, Yunfei Chu, Qi Chen et al. · 0 citations

Review Jul 2026

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering

DCASE~2026 Task~5 introduces Audio-Dependent Question Answering (ADQA), which tests whether large audio-language models answer from the audio rather than from textual priors. An Audio-Dependency Filtering (ADF) pipeline combines silent-audio probing, per-option perplexity, a large language model (LLM) commonsense check...

Haolin He, Renhe Sun, Zheqi Dai et al. · 1 citation