TY - GEN
T1 - Optimal speech estimator considering room response as well as additive noise
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
AU - Kim, Lae Hoon
AU - Hasegawa-Johnson, Mark
PY - 2008
Y1 - 2008
N2 - This paper proposes minimum mean squared error (MMSE) speech signal estimation in a reverberant space using different optimal estimators in the low and high frequency ranges. At low frequencies, an MMSE spectral amplitude estimator divided by the spectral amplitude of a representative impulse response produces optimal performance. In the high frequency range, the MMSE estimator is computed based on its sufficient statistic: the maximum likelihood (ML) estimate. Inference is factored using a two-step algorithm: the maximum likelihood value of the source spectrum is first estimated using expectation-maximization (EM) under the assumption of the hidden room response with complex Gaussian pdf, then the MMSE source spectral estimate is computed.
AB - This paper proposes minimum mean squared error (MMSE) speech signal estimation in a reverberant space using different optimal estimators in the low and high frequency ranges. At low frequencies, an MMSE spectral amplitude estimator divided by the spectral amplitude of a representative impulse response produces optimal performance. In the high frequency range, the MMSE estimator is computed based on its sufficient statistic: the maximum likelihood (ML) estimate. Inference is factored using a two-step algorithm: the maximum likelihood value of the source spectrum is first estimated using expectation-maximization (EM) under the assumption of the hidden room response with complex Gaussian pdf, then the MMSE source spectral estimate is computed.
KW - Channel inversion
KW - Room response estimation
KW - Signal enhancement
KW - Statistical room response modeling
UR - http://www.scopus.com/inward/record.url?scp=51449121002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449121002&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2008.4518674
DO - 10.1109/ICASSP.2008.4518674
M3 - Conference contribution
AN - SCOPUS:51449121002
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4573
EP - 4576
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -