TY - GEN
T1 - An improved SNR estimator for speech enhancement
AU - Ren, Yao
AU - Johnson, Michael T.
PY - 2008
Y1 - 2008
N2 - In this paper, we propose an MMSE a priori SNR estimator for speech enhancement. This estimator has similar benefits to the well-known decision-directed approach, but does not require an ad-hoc weighting factor to balance the past a priori SNR and current ML SNR estimate with smoothing across frames. Performance is evaluated in terms of estimation error and segmental SNR using the standard logSTSA speech enhancement method. Experimental results show that, in contrast with the decision-directed estimator and ML estimator, the proposed SNR estimator can help enhancement algorithms preserve more weak speech information and efficiently suppress musical noise.
AB - In this paper, we propose an MMSE a priori SNR estimator for speech enhancement. This estimator has similar benefits to the well-known decision-directed approach, but does not require an ad-hoc weighting factor to balance the past a priori SNR and current ML SNR estimate with smoothing across frames. Performance is evaluated in terms of estimation error and segmental SNR using the standard logSTSA speech enhancement method. Experimental results show that, in contrast with the decision-directed estimator and ML estimator, the proposed SNR estimator can help enhancement algorithms preserve more weak speech information and efficiently suppress musical noise.
KW - Least mean square error methods
KW - Maximum likelihood estimation
KW - Speech enhancement
UR - http://www.scopus.com/inward/record.url?scp=51449091433&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449091433&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2008.4518756
DO - 10.1109/ICASSP.2008.4518756
M3 - Conference contribution
AN - SCOPUS:51449091433
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4901
EP - 4904
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -