Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pedro Univaso"'
Autor:
Jorge A. Gurlekian, Stefania Suligoy, Pedro Univaso, Humberto Torres, Evangelina Masessa, Nancy Molina
Publikováno v:
Journal of voice : official journal of the Voice Foundation.
To provide voice experts with a method for determining the likelihood ratio (LR) from the perceptual evaluation of distinctive voice attribute scores. The proposed method aims to obtain the similarity and typicality judgments made by forensic voice e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f63abb1349e361125d2d58d25ef447ef
https://pubmed.ncbi.nlm.nih.gov/35331608
https://pubmed.ncbi.nlm.nih.gov/35331608
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
En este trabajo se presentan los resultados de los experimentos llevados a cabo con un sistema de reconocimiento automático de habla continua para el español de Argentina. El reconocedor implementado basado en palabras utilizó unidades independien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08d386726429f93fedf5295971b4d676
https://doi.org/10.26564/19001355.273
https://doi.org/10.26564/19001355.273
In this paper we analyze the advantages of using data mining techniques and tools for data fusion in forensic speaker recognition. Segmental and suprasegmental features were employed in 28 different classifiers, in order to compare their performances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98ddfb9b03a6ebcdc68a1dffdcbd07fb
https://ieeexplore.ieee.org/document/7106363
https://ieeexplore.ieee.org/document/7106363
Publikováno v:
The Journal of the Acoustical Society of America. 79:S96-S96
Due to the difficulties in the recognition of quite similar utterances, such as CV syllables with the same vowel, a two‐step approach was proposed. In the first step the normalized log energy, 32 spectral band log energies, and the spectral change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc1ec362a0491116b20b8fe7bbdcefac
https://doi.org/10.1121/1.2023488
https://doi.org/10.1121/1.2023488