Blind Source Separation in Farsi Language by Using Hermitian Angle in Convolutive Enviroment

Subject Areas : Signal and systems processing

Atefeh  Soltani ¹ (MsC/ Najafabad Branch, Islamic Azad University)
Seyed Hamid  Mahmoodian ² (Assistant Professor / Najafabad Branch, Islamic Azad University)
Seyed Ali  Hashemi ³ (Assistant Professor/Department of Electrical and Computer Engineering, Faculty of Mohajer, Isfahan Branch, Technical and Vocational University (TVU), Isfahan, Iran.)

Received: 2012-07-09 Accepted : 2013-05-30 Published : 2013-06-01

Keywords: w-disjoint orthogonality, Sparsity, Bind source separation (BSS), hermitianangle, time-frequency masking,

Abstract :

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 experimental results show an improvement in performance when using two different reference vectors compared to only one.