3 papers
cs.SD2026
VoTSpeech: Decoupling Voice Design from Speech Generation in Instruction-Following TTS
Wenbing Yang, Qihang Lu, Zihan Sun +4
Instruction-following text-to-speech (TTS) typically leaves voice design implicit, as conventional speaker embeddings encode reference audio rather than text-driven targets. We pro…
cs.SD2026
Hello-Chat: Towards Realistic Social Audio Interactions
Yueran Hou, Peilei Jia, Zihan Sun +5
Recent advancements in Large Audio Language Models (LALMs) have demonstrated exceptional performance in speech recognition and translation. However, existing models often suffer fr…
eess.AS2025
SynParaSpeech: Automated Synthesis of Paralinguistic Datasets for Speech Generation and Understanding
Bingsong Bai, Qihang Lu, Wenbing Yang +8
Paralinguistic sounds, like laughter and sighs, are crucial for synthesizing more realistic and engaging speech. However, existing methods typically depend on proprietary datasets,…