arXiv (All)
open access
WhisperVC-AV: Audio-Visual Content Restoration for Noise-Robust Whisper-to-Normal Voice Conversion
Environmental noise obscures the content cues needed for whisper-to-normal conversion. We propose WhisperVC-AV, which restores acoustic content features while leaving the original WhisperVC conversion module unchanged. Its context-guided restoration module combines temporal acoustic context with syn
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
- BLINC: Blind Calibration For Training-Free Speech Enhancement Adaptation#1036287
- Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance#168357
- Challenges of Multi-Speaker Extraction for Real Conversational Speech Enhancement#1061853
- Unsupervised Speech Enhancement via Drifting#1128921
- Effects of Natural Sounds on Attention Restoration in Noisy Environment#880888
Record · ID 1117174
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