Exploració per autor "Farrús Cabeceran, Mireia"
Ara es mostren els items 3-7 de 7
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Fusing prosodic and acoustic information for speaker recognition
Farrús Cabeceran, Mireia (Universitat Politècnica de Catalunya, 2008-10-29)
Tesi
Accés obertEl reconeixement automàtic del locutor és la utilització d’una màquina per identificar un individu a partir de d’un missatge parlat. Recentment, aquesta tecnologia ha experimentat un increment en l’ús de diverses aplicacions ... -
Linguistic-based evaluation criteria to identify statistical machine translation errors
Farrús Cabeceran, Mireia; Ruiz Costa-Jussà, Marta; Mariño Acebal, José Bernardo; Rodríguez Fonollosa, José Adrián (2010-05)
Comunicació de congrés
Accés obertMachine translation evaluation methods are highly necessary in order to analyze the performance of translation systems. Up to now, the most traditional methods are the use of automatic measures such as BLEU or the ... -
Overcoming statistical machine translation limitations: error analysis and proposed solutions for the Catalan–Spanish language pair
Mariño Acebal, José Bernardo; Farrús Cabeceran, Mireia; Ruiz Costa-Jussà, Marta; Poch, Marc; Hernández Huerta, Adolfo; Herníquez, Carlos; Rodríguez Fonollosa, José Adrián (2011-02-20)
Article
Accés obertThis work aims to improve anN-gram-based statistical machine translation system between the Catalan and Spanish languages, trained with an aligned Spanish– Catalan parallel corpus consisting of 1.7 million sentences taken ... -
The TALP on-line Spanish-Catalan machine-translation system
Poch, M; Farrús Cabeceran, Mireia; Ruiz Costa-Jussà, Marta; Mariño Acebal, José Bernardo; Hernández, Adolfo; Henríquez Quintana, Carlos Alberto; Rodríguez Fonollosa, José Adrián (2009-09)
Comunicació de congrés
Accés obertIn this paper the statistical machine translator (SMT) between Catalan and Spanish developed at the TALP research center (UPC) and its web demonstration are described. -
Using jitter and shimmer in speaker verification
Farrús Cabeceran, Mireia; Hernando Pericás, Francisco Javier (2009-07-01)
Article
Accés obertJitter and shimmer are measures of the fundamental frequency and amplitude cycle-to-cycle variations, respectively. Both features have been largely used for the description of pathological voices, and since they characterise ...