TY - GEN
T1 - Combining multisource wiener filtering with parallel beamformers to reduce noise from interfering talkers
AU - Ewalt, Heather E.
AU - Johnson, Michael T.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/10444263759
UR - https://www.scopus.com/pages/publications/10444263759#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:10444263759
SN - 0780384075
T3 - 2004 7th International Conference on Signal Processing Proceedings, ICSP
SP - 453
EP - 456
BT - 2004 7th International Conference on Signal Processing Proceedings, ICSP
T2 - 2004 7th International Conference on Signal Processing Proceedings, ICSP
Y2 - 31 August 2004 through 4 September 2004
ER -