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eess.AS2026
OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue
Haolin He, Yunfei Chu, Qi Chen +15
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 au…
eess.AS2025
Audiobook-CC: Controllable Long-context Speech Generation for Multicast Audiobook
Min Liu, JingJing Yin, Xiang Zhang +6
Existing text-to-speech systems predominantly focus on single-sentence synthesis and lack adequate contextual modeling as well as fine-grained performance control capabilities for…
eess.AS2025
Fine-grained Preference Optimization Improves Zero-shot Text-to-Speech
Jixun Yao, Yuguang Yang, Yu Pan +5
Integrating human feedback to align text-to-speech (TTS) system outputs with human preferences has proven to be an effective approach for enhancing the robustness of language model…