Abstract
The ability to extract a primary speech signal from an environment with multiple speakers is an important issue [1.2] in speech processing. This paper presents a method for incorporating multiple parallel beamformers with a Wiener filter. By iteratively improving the spectral magnitude estimates of each speech source, substantial improvement in overall signal separation can be obtained. The performance of the algorithm is illustrated using a simulated multiple speaker environment with resulting SNR and sSNR plots.
Original language | English |
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Pages | 455-458 |
Number of pages | 4 |
State | Published - 2004 |
Event | 2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China Duration: Aug 31 2004 → Sep 4 2004 |
Conference
Conference | 2004 7th International Conference on Signal Processing Proceedings (ICSP'04) |
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Country/Territory | China |
City | Beijing |
Period | 8/31/04 → 9/4/04 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Science Applications