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On enhancing model-based expectation maximization source separation in dynamic reverberant conditions using automatic Clifton effect

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On enhancing model-based expectation maximization source separation in dynamic reverberant conditions using automatic Clifton effect

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Gul, S.; Khan, MS.; Shah, SW.; Lloret, J. (2020). On enhancing model-based expectation maximization source separation in dynamic reverberant conditions using automatic Clifton effect. International Journal of Communication Systems. 33(3):1-18. https://doi.org/10.1002/dac.4210

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/188945

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Title: On enhancing model-based expectation maximization source separation in dynamic reverberant conditions using automatic Clifton effect
Author: Gul, Sania Khan, Muhammad Salman Shah, Syed Waqar Lloret, Jaime
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Source separation algorithms based on spatial cues generally face two major problems. The first one is their general performance degradation in reverberant environments and the second is their inability to differentiate ...[+]
Subjects: Blind source separation , Clifton effect , Dynamic acoustic conditions , Precedence effect , Reverberation
Copyrigths: Reserva de todos los derechos
Source:
International Journal of Communication Systems. (issn: 1074-5351 )
DOI: 10.1002/dac.4210
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/dac.4210
Project ID:
info:eu-repo/grantAgreement/HEC//6330%2FKPK%2FNRPU%2FRD%2FHEC%2F2016/
Thanks:
This project is funded by Higher Education Commission (HEC), Pakistan, under project no. 6330/KPK/NRPU/R&D/HEC/2016.
Type: Artículo

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