arXiv (All)
open access
Dialogue-Based Streaming Audio-Visual Target Speaker Extraction with Predictive Dialogue Information
In face-to-face, real-time communication, a talking agent must track the target speaker through natural pauses, turn-taking, and backchannels, often amid background cross-talk. Most target speaker extraction (TSE) studies, however, rely on simulated mixtures with full or sparse overlap and ignore th
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Voices as Handles: Reasoning about Speaker Identity with Frozen Text LLMs#1143102
- Multimodal Target Speaker Extraction: Towards Unified Speaker Cues Across Modalities#1130267
- Inter-Speaker Relative Cues for Two-Stage Text-Guided Target Speech Extraction#1051451
- Unified Target-Speaker ASR with Text and Enrollment Speech Cues#1118926
- Pushing the Boundaries of Streaming Multi-Speaker ASR: A Systematic Study of Architectural Trade-offs#997163
Record · ID 1105333
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive