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Two microphones speech enhancement system based on instrumental variable algorithms [articol]

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dc.contributor.author Gabrea, Gheorghe Marcel
dc.date.accessioned 2020-04-10T08:26:35Z
dc.date.accessioned 2021-03-01T08:37:52Z
dc.date.available 2020-04-10T08:26:35Z
dc.date.available 2021-03-01T08:37:52Z
dc.date.issued 2008
dc.identifier.citation Gabrea, Gheorghe Marcel. Two microphones speech enhancement system based on instrumental variable algorithms. Timişoara: Editura Politehnica, 2008 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Two%20microphones%20speech%20enhancement%20system%20based%20on%20instrumental%20variable%20algorithms&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract In this paper a symmetric feedback implementation scheme of a two microphones speech enhancement is presented. This approach can be extended for a subclass of signal separations where the direct link is stronger than the interference link in the both channels. We consider the coupling systems modeled as a linear time-invariant Finite Impulse Response (FIR) filters and propose new instrumental variable-based adaptive filters solution to enhance the noisy speech. The optimum filter weight adaptation is based on two instrumental variable algorithms: the generalized least mean square (GLMS) algorithms and the overdetermined recursive instrumental variable (ORIV) algorithms. A comparative study with other adaptive algorithms is presented. en_US
dc.language.iso en en_US
dc.publisher Timişoara : Editura Politehnica en_US
dc.relation.ispartofseries Seria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008)
dc.subject Speech enhancement en_US
dc.subject Adaptive filters en_US
dc.subject Instrumental variable en_US
dc.subject Generalized least mean square en_US
dc.subject Overdetermined recursive instrumental variable en_US
dc.title Two microphones speech enhancement system based on instrumental variable algorithms [articol] en_US
dc.type Article en_US


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