An imrovement in using hermitian anglein convolutive speech blind source separation

This paper presents a T-F masking method for convolutive blind source separation based on Hermitian angle concept. The Hermitian angle is calculated between T-F domain mixture vector and reference vector. Two different reference vectors are assumed for calculating two different Hermitian angles, and then these angles are clustered with k-means or FCM method to estimate unmixing masks. The well-known permutation problem is solved based on k-means clustering of estimated masks which are partitioned to small groups. The experiment results show that separation performance for two different reference vectors is better than that for only one reference vector.