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Speaker Verification in Different Database Scenarios
(Revista Computación y Sistemas; Vol. 15 No. 1, 2011-09-10)
Abstract. This document shows the results of our
Speaker Verification System under two scenarios: the
Face and Speaker Verification Evaluation organized by
MOBIO (MObile BIOmetric consortium) and the results
for the ...
On the determination of epsilon during discriminative GMM training
(2010-12-01)
Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, ε, uses to be defined experimentally. ...
Listeners adaptatión to the local and global environments of languaje use.
(2008)
Two experiments were conducted to address how listeners infer speakers communicative interntions from multiple sources of infomration under the performance and time constrainsts of a conversation. It was hypothesized that ...
Development of an adapted version of the Boston Naming Test for Portuguese speakers
(Associação Brasileira de Psiquiatria - ABP, 2010)
OBJECTIVE: To present the development of an adapted version of the Boston Naming Test for Portuguese speakers, and to investigate the effects of age, education and gender on both the original and the adapted Boston Naming ...
GRaNN: feature selection with golden ratio-aided neural network for emotion, gender and speaker identification from voice signals
(Springer, 2022)
Compared to other features of the human body, voice is quite complex and dynamic, in a sense that a speech can be spoken in various languages with different accents and in different emotional states. Recognizing the gender, ...
Estimation the Number of Speakers Based on Adaptive Wavelet Transform by Generalized Eigenvalue Decomposition and K-means Clustering
(IEEE, 2019)
The aim of this paper is estimation the number of simultaneous speakers from the overlapped speech signals. The proposed method in this paper is based on spectrum estimation with adaptive wavelet transform in combination ...
Reconocedor de voz adaptado
(Universidad Autónoma Metropolitana (México). Unidad Azcapotzalco. Coordinación de Servicios de Información., 2005-07)
El presente trabajo consiste en el desarrollo de un sistema de reconocimiento de voz en base a Modelos Ocultos de Markov (Hidden Markov Models, HMMs) que identifica fonemas y palabras pronunciadas por un locutor hispano ...
On the determination of epsilon during discriminative GMM training
(2010-12-01)
Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, ε, uses to be defined experimentally. ...