TY - GEN
T1 - Time-frequency-masking-based Determined BSS with Application to Sparse IVA
AU - Yatabe, Kohei
AU - Kitamura, Daichi
N1 - Funding Information:
∗This work was partly supported by JSPS KAKENHI Grant-in-Aid for Research Activity Start-up (17H06572, 17H07191).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Most of the determined blind source separation (BSS) algorithms related to the independent component analysis (ICA) were derived from mathematical models of source signals. However, such derivation restricts the application of algorithms to explicitly definable source models, i.e., an implicit model associated with some signal-processing procedure cannot be utilized within such framework. In this paper, we propose an extension of the existing algorithm so that any time-frequency masking method (e.g., those developed in speech enhancement literature) can be incorporated into the determined BSS algorithm. As an application of the proposed algorithm, a sparse extension of the well-known independent vector analysis (IVA) is also proposed for illustrating the potentiality of the masking-based implicit source model.
AB - Most of the determined blind source separation (BSS) algorithms related to the independent component analysis (ICA) were derived from mathematical models of source signals. However, such derivation restricts the application of algorithms to explicitly definable source models, i.e., an implicit model associated with some signal-processing procedure cannot be utilized within such framework. In this paper, we propose an extension of the existing algorithm so that any time-frequency masking method (e.g., those developed in speech enhancement literature) can be incorporated into the determined BSS algorithm. As an application of the proposed algorithm, a sparse extension of the well-known independent vector analysis (IVA) is also proposed for illustrating the potentiality of the masking-based implicit source model.
KW - Linear source separation
KW - demixing filter estimation
KW - plug-and-play
KW - primal-dual splitting
KW - proximity operator
UR - http://www.scopus.com/inward/record.url?scp=85068982121&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068982121&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2019.8682217
DO - 10.1109/ICASSP.2019.8682217
M3 - Conference contribution
AN - SCOPUS:85068982121
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 715
EP - 719
BT - 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Y2 - 12 May 2019 through 17 May 2019
ER -