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eess.AS2026
Multimodal Conversational Context for LLM-Based ASR: Data Construction, Training, and Benchmark
Longhao Li, Jian Tang, Yuxiang Kong +4
Conversational context provides semantic and acoustic cues across turns for automatic speech recognition (ASR), but relying on historical transcripts can propagate recognition erro…
eess.AS2026
Qwen-Audio-3.0-TTS: Freely Controllable and Highly Robust Speech Synthesis with Multi-Stage Training Paradigm
Bajian Xiang, Cheng Wen, Han Zhao +12
In this report, we present Qwen-Audio-3.0-TTS, a production-oriented speech synthesis system that jointly advances content consistency, speaker similarity, prosodic naturalness, au…
cs.SD2026
Diffusion Reconstruction towards Generalizable Audio Deepfake Detection
Bo Cheng, Songjun Cao, Xiaoming Zhang +3
Achieving robust generalization against unseen attacks remains a challenge in Audio Deepfake Detection (ADD), driven by the rapid evolution of generative models. To address this, w…