Abstract
MVDR beamformers have been proposed for use in hearing aids. Experiments show poor performance for time-domain methods for more speech sources than sensors, in contrast to the human auditory system. A frequency-domain binaural MVDR algorithm applied in a cocktail-party environment performs significantly better than the Frost or GSC algorithms. Experiments show that the performance advantage of the frequency-domain algorithm can be attributed to rapid, independent adaptation across frequency bands, allowing faster, more accurate tracking of speech sources than time-domain techniques.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 730-734 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 1 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 9 2003 → Nov 12 2003 |
Keywords
- Adaptive beamforming
- MVDR beamforming
- Nonstationary sources
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications