Abstract
This paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures.The efficacy of this approach is demonstrated by experimental results.
| Original language | English (US) |
|---|---|
| Title of host publication | 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002 |
| Publisher | IEEE Computer Society |
| Pages | 259-263 |
| Number of pages | 5 |
| Volume | 2002-January |
| ISBN (Electronic) | 0780375513 |
| DOIs | |
| State | Published - Jan 1 2002 |
| Event | IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States Duration: Aug 4 2002 → Aug 6 2002 |
Other
| Other | IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 |
|---|---|
| Country | United States |
| City | Rosslyn |
| Period | 8/4/02 → 8/6/02 |
ASJC Scopus subject areas
- Signal Processing
- Control and Systems Engineering
- Electrical and Electronic Engineering
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Cite this
Drake, L., Katsaggelos, A. K., Rutledge, J. C., & Zhangl, J. (2002). Sound source separation via computational auditory scene analysis-enhanced beamforming. In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002 (Vol. 2002-January, pp. 259-263). [1191040] IEEE Computer Society. https://doi.org/10.1109/SAM.2002.1191040