Abstract
Dereverberation of speech signals in a hands-free scenario by inverse filtering has been a research topic for several years now. However, it is still a challenging problem because of the nature of common room impulse responses (RIRs), which are time-variant mixed phase systems having a large number of zeros close to, on, and even outside the unit circle in the z-domain. In this contribution an adaptive multi-channel equalization algorithm based on a decoupled version of the modified filtered-X LMS (mFxLMS) will be derived in the partitioned frequency domain. This new algorithm allows for fast convergence, computationally efficient implementation, and a low system delay under realistic conditions such as ambient noise and imperfect RIR estimates.
| Original language | English |
|---|---|
| Title of host publication | 2008 42nd Asilomar Conference on Signals, Systems and Computers |
| Number of pages | 5 |
| Publisher | IEEE |
| Publication date | 01.10.2008 |
| Pages | 811-815 |
| ISBN (Print) | 978-1-4244-2940-0 |
| ISBN (Electronic) | 978-1-4244-2941-7 |
| DOIs | |
| Publication status | Published - 01.10.2008 |
| Event | 2008 42nd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, United States Duration: 26.10.2008 → 29.10.2008 Conference number: 77519 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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