In this study, we extend the catalog-based single-channel speech-music separation method such that it incorporate prior speech information to enhance the separation performance of the method. We developed the inference method that enable us to use the speech prior model which is obtained using pre-obtained speech signals. Complex Gaussian observation model which uses the Inverse-Gamma distribution as a prior model are used to develop the inference method. We compare the separation performance of the catalog-based method with and without prior speech model in both complex Gaussian and Poisson observation models. It is shown that for both observation models incorporating prior speech information improves the separation performance of the catalog-based method.

Index Terms: speech-music separation, prior speech model, speech recognition