Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jorge A. Gurlekian"'
Autor:
Liliana Sigal, Jorge A. Gurlekian
Publikováno v:
Revista de Investigación en Logopedia, Vol 4, Iss 2, Pp 132-150 (2014)
La disfonía espasmódica es un desorden vocal severo caracterizado por interrupciones involuntarias de la fonación, denominada también distonía focal laríngea. Este trabajo da a conocer resultados de la aplicación del índice de perturbación
Externí odkaz:
https://doaj.org/article/606f96f95265425398d8b3c5229e2421
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:1977-1986
This paper addresses the issue of local disturbances in the fundamental frequency contour of speech, caused by the articulation of voiced/unvoiced consonant phonemes. Depending on the intended use of the F0 contour, these disturbances are usually eli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f550112631595b2daeaf801aacce95
https://doi.org/10.1109/taslp.2021.3082671
https://doi.org/10.1109/taslp.2021.3082671
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:
Speech Prosody 2018.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a989aab43144bacb80ce3d97b2b2d38d
https://doi.org/10.21437/speechprosody.2018-138
https://doi.org/10.21437/speechprosody.2018-138
ObjectiveTo present and test a production-matching method with external references, looking at the improvement of inter-rater variability of expert evaluations.MethodIt consists of adjusting quality attribute levels of a synthetic vowel for a simulta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd8162c0331024c78c7f510a201c2c87
https://www.jvoice.org/article/S0892-1997(17)30535-0/fulltext
https://www.jvoice.org/article/S0892-1997(17)30535-0/fulltext
Objectives: To explore perceptual evaluation of jitter produced by fundamental frequency (F0) variation in a sustained vowel /a/, using two different methods. One is based on listener's internal references and the other is based on external reference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5caf98e3806e883c04dc5c964e7be2d4
https://www.sciencedirect.com/science/article/pii/S0892199715001058
https://www.sciencedirect.com/science/article/pii/S0892199715001058
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dd973e2af0b2610ba05bf96bb864b57
https://doi.org/10.21437/speechprosody.2016-138
https://doi.org/10.21437/speechprosody.2016-138
Autor:
Humberto Torres, Jorge A. Gurlekian
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Fujisaki’s intonation model parameterizes the F0’s contour efficiently and because of its strong physiological basis has been successfully tested in different languages. One problem that has not been fully addressed is the extraction of the model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6b9cf85580b50cead5180d19219ef02
http://ieeexplore.ieee.org/document/7328694/
http://ieeexplore.ieee.org/document/7328694/
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