arXiv (All)
open access
MambaVoice: Lightweight Audiovisual Singing Voice Separation Via A Hybrid Mamba-Transformer Model
Isolating a target singing voice from a music video remains challenging, particularly in the presence of multiple vocalists and dense instrumental accompaniment. We propose MambaVoice, a lightweight audiovisual framework that leverages a hybrid Mamba--Transformer architecture for targeted singing vo
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
- AVTR-1: Open Stack for Real-Time Interactive Avatars#1037596
- Improving Music Source Separation with Diffusion and Consistency Refinement#173239
- ORAV: Benchmarking Audio-Video Generation from Multimodal Contexts#1129457
- Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy#1128653
- VoxReason: Auditing Source-Grounded Speech Plans Before Synthesis#1160752
Record · ID 1062522
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