A Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations
Full-duplex dialogue systems, which listen while speaking, must distinguish a completed turn from a pause within a turn and an interruption that requests a turn from a brief acknowledgment or speech addressed to a third party. Yet existing conversational corpora provide limited control over these events and limited labels for their intent. We present a pipeline for synthesizing intent-labeled, two-channel conversational speech from relational event lists. An LLM authors each event's speaker, text, conversational act, and attachment to an earlier event without predicting absolute timestamps. Events are synthesized independently, aligned with their source text, and placed on a shared clock,...
| Authors | Matthew Sun, Vinay Kothapally, Meng Yu et al. |
|---|---|
| Primary category | eess.AS |
| Published | 23 September 2026 |
| Last updated at source | 23 September 2026 |
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