TY - GEN
T1 - A parallel model combination scheme with improved delta parameter compensation
AU - Ning, Geng-Xin
AU - Leung, Shu-Hung
AU - Chu, Kam-Keung
AU - Wei, Gang
PY - 2006
Y1 - 2006
N2 - Parallel model combination (PMC) techniques have been successfully and popularly used in noisy speech recognition. Previous PMC methods such as the log-normal PMC and the logadd PMC generally use approximate compensation for delta parameters. In this paper we propose a PMC scheme with improved delta parameter compensation (PMC-IDC), which employs the log-normal PMC method for the static distribution compensation and a new delta parameter compensation. By using this new PMC-IDC scheme, improvement over the other PMC methods can be obtained in different additive noises at the expense of slight increase in computational complexity. © 2006 IEEE.
AB - Parallel model combination (PMC) techniques have been successfully and popularly used in noisy speech recognition. Previous PMC methods such as the log-normal PMC and the logadd PMC generally use approximate compensation for delta parameters. In this paper we propose a PMC scheme with improved delta parameter compensation (PMC-IDC), which employs the log-normal PMC method for the static distribution compensation and a new delta parameter compensation. By using this new PMC-IDC scheme, improvement over the other PMC methods can be obtained in different additive noises at the expense of slight increase in computational complexity. © 2006 IEEE.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-34547262613&origin=recordpage
U2 - 10.1109/ISCAS.2006.1693888
DO - 10.1109/ISCAS.2006.1693888
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0-7803-9389-9
SP - 5535
EP - 5538
BT - 2006 IEEE International Symposium on Circuits and Systems
PB - IEEE
T2 - 2006 IEEE International Symposium on Circuits and Systems (ISCAS 2006)
Y2 - 21 May 2006 through 24 May 2006
ER -