Blind separation of speech mixtures
This thesis addresses three well-known problems in blind source separation of speech signals, namely permutation problem in the frequency domain blind source separation (BSS), underdetermined instantaneous BSS and underdetermined convolutive BSS. For solving the permutation problem in the frequen...
Main Author: | Vaninirappuputhenpurayil Gopalan Reju |
---|---|
Other Authors: | Koh Soo Ngee |
Format: | Thesis |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/20784 |
Similar Items
-
Partial separation method for solving permutation problem in frequency domain blind source separation of speech signals
by: Reju, Vaninirappuputhenpurayil Gopalan, et al.
Published: (2011) -
An algorithm for mixing matrix estimation in instantaneous blind source separation
by: Reju, Vaninirappuputhenpurayil Gopalan, et al.
Published: (2011) -
Underdetermined convolutive blind source separation via time-frequency masking
by: Reju, Vaninirappuputhenpurayil Gopalan, et al.
Published: (2011) -
Blind source separation of speech mixtures
by: Liu, Benxu
Published: (2015) -
Convolution using discrete sine and cosine transforms
by: Reju, Vaninirappuputhenpurayil Gopalan, et al.
Published: (2011)