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, Yun-Fei Chu, Qi Chen et al.· 0 citations
TinyAudio is introduced, a compact flow-matching-based TTA model for low-resource deployment that achieves competitive generation quality on AudioCaps and TTA-Bench and demonstrates a practical quality-footprint trade-off for low-resource TTA deployment.
Jun-Xi Liu, Xi-Quan Li, Wen-Hao Guan et al.· 0 citations
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
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
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