Automatic speech recognition with a modified Ephraim-Malah rule

Autor:	Franco Mana, R. De Mori, Roberto Gemello
Rok vydání:	2006
Předmět:	Speech enhancement Noise Nonlinear system Computer Science::Sound Computer science business.industry Applied Mathematics Speech recognition Signal Processing Pattern recognition Artificial intelligence Electrical and Electronic Engineering business
Zdroj:	IEEE Signal Processing Letters. 13:56-59
ISSN:	1070-9908
DOI:	10.1109/lsp.2005.860535
Popis:	A soft decision gain modification is introduced and applied to the Ephraim-Malah gain function based on maximum mean-square-error estimation after amplitude compression. Nonlinear evaluations of the noise overestimation factor and spectral floor are used in the same way for the proposed gain modification and for nonlinear spectral subtraction (NSS). Consistent and statistically significant automatic speech recognition improvements of the proposed approach with respect to NSS are observed for different noise conditions considered in the Aurora-2 and Aurora-3 corpora. As the nonlinearity affects the two approaches in the same way, the result of comparison is particularly interesting.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2d9a8349b9f81eadd38787a221bb71dd https://doi.org/10.1109/lsp.2005.860535 Zobrazit plný text záznamu