A parallel model combination scheme with improved delta parameter compensation

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 log-add 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