2 papers
eess.AS2026
ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching
Han Zhu, Wei Kang, Liyong Guo +11
Generating spoken dialogue is inherently more complex than monologue text-to-speech (TTS), as it demands both realistic turn-taking and the maintenance of distinct speaker timbres.…
cs.CL2026
Controlling Language Difficulty in Dialogues with Linguistic Features
Shuyao Xu, Wenguang Wang, Handong Gao +3
Large language models (LLMs) have emerged as powerful tools for supporting second language acquisition, particularly in simulating interactive dialogues for speaking practice. Howe…