dc.contributorFRANCE TELECOM - CNET LAA/TSS/CMC Technopole ANTICIPA
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2022-04-29T08:32:32Z
dc.date.accessioned2022-12-20T02:51:15Z
dc.date.available2022-04-29T08:32:32Z
dc.date.available2022-12-20T02:51:15Z
dc.date.created2022-04-29T08:32:32Z
dc.date.issued2015-01-01
dc.identifierEuropean Signal Processing Conference.
dc.identifier2219-5491
dc.identifierhttp://hdl.handle.net/11449/229428
dc.identifier2-s2.0-85113861595
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5409562
dc.description.abstractThis paper addresses the problem of single microphone frequency domain MMSE noise reduction technique for speech enhancement in noisy environments. We first analysed asymptotic performance of the MMSE estimate and compared these results with the Wiener filter. Practical implementation of the MMSE filter is then presented. Comparisons between optimal and practical behaviour of the MMSE filter demonstrate that an effective improvement in the noise reduction process can be gained if greater attention is given to the these estimators.
dc.languageeng
dc.relationEuropean Signal Processing Conference
dc.sourceScopus
dc.titleOn speech enhancement algorithms based on mmse estimation
dc.typeActas de congresos


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