Abstract
In this paper, we focus on the reverberation depression in scenarios such as hand-free telephone and teleconference system applications. The combination of cross-relation based blind room impulse response (RIR) estimation and the p-norm based channel reshaping leads to this adaptive reverberation depression scheme. The normalized multi-channel frequency-domain least-mean-square (NMCFLMS) algorithm is used for RIR estimation and the p-norm optimization approach for channel reshaping. Simulations show that it is possible to establish such a post-processing system for reverberation depression. Listening tests verified that reverberation is hardly heard after channel reshaping.
| Original language | English |
|---|---|
| Journal | International Journal of Speech Technology |
| Volume | 18 |
| Issue number | 1 |
| Pages (from-to) | 91-95 |
| Number of pages | 5 |
| ISSN | 1381-2416 |
| DOIs | |
| Publication status | Published - 01.01.2014 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'Adaptive estimation and reshaping of room impulse response'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver