نوع مقاله : مقاله پژوهشی
نویسندگان
1 کارشناس ارشد/دانشگاه آزاد اسلامی واحد نجف آباد
2 استادیار/دانشگاه آزاد اسلامی واحد نجف آباد
3 استادیار/دانشگاه آزاد اسلامی واحد شهر مجلسی
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
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.
کلیدواژهها [English]