Please use this identifier to cite or link to this item: https://elib.belstu.by/handle/123456789/25878
Title: Using Full Covariance Matrix for CMU Sphinx-III Speech Recognition System
Authors: Płonkowski, Marcin
Urbanovich, P. P.
Keywords: speech recognition
covariance matrix
CMU Sphinx
Issue Date: 2018
Citation: Płonkowski, M. Using Full Covariance Matrix for CMU Sphinx-III Speech Recognition System / Marcin Płonkowski, Pavel Urbanovich // PRZEGLĄD ELEKTROTECHNICZNY.- 2018.- R. 94, NR 7.- P. 102-104.
Description: In this article authors proposed a hybrid system in which the full covariance matrix is used only at the initial stage of learning. At the further stage of learning, the amount of covariance matrix increases significantly, which, combined with rounding errors, causes problems with matrix inversion. Therefore, when the number of matrices with a determinant of 0 exceeds 1%, the system goes into the model of diagonal covariance matrices. Thanks to this, the hybrid system has achieved a better result of about 11%.
URI: https://elib.belstu.by/handle/123456789/25878
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