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cs.SD2026
ParA-LLM: A Unified Approach to Paralinguistic and Acoustic Speech Understanding
Nishit Anand, Jiaqi Su, Ke Chen +5
Recent advances in Audio LLMs have achieved human-level speech recognition, yet existing systems struggle to capture paralinguistic aspects such as speaker traits, expressive varia…
cs.SD2026
PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis
Bowen Li, Shaotong Guo, Zhen Wang +11
Building state-of-the-art text-to-speech (TTS) systems typically demands millions of hours of proprietary data and complex multi-stage architectures, creating substantial barriers…
cs.SD2025
PromptSep: Generative Audio Separation via Multimodal Prompting
Yutong Wen, Ke Chen, Prem Seetharaman +7
Recent breakthroughs in language-queried audio source separation (LASS) have shown that generative models can achieve higher separation audio quality than traditional masking-based…