arXiv (All)
open access
Active noise cancellation extends the benefit of AI speech enhancement in real hearing-aid recordings
Active noise cancellation (ANC) is common in headphones but rare in hearing aids, and its value for understanding speech in noise is not established. Algorithms that improve signal-to-noise ratio (SNR) act only on the hearing aid's amplified path, while unprocessed sound also reaches the eardrum dir
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
- A Hybrid Classical-Learning Framework for Adaptive Decision Directed Speech Enhancement#1062084
- Active noise cancellation on open-ear smart glasses#998178
- A non-iteraitive Kalman filtering algorithm with dynamic gain adjustment for single-channel speech enhancement#167798
- ABSE-NET: A Lightweight Neural Model for Active Binaural Speech Enhancement in Open-Fit Hearing Aids#820960
- Domain-Incremental Learning for Generative Speech Enhancement#1129512
Record · ID 1342163
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