Language Recognition on Albayzin 2010 LRE using PLLR features

  1. Díez Sánchez, Mireia
  2. Varona Fernández, Amparo
  3. Peñagaricano Badiola, Mikel
  4. Rodríguez Fuentes, Luis Javier
  5. Bordel García, Germán
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2013

Número: 51

Páginas: 153-160

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

Los as´ý denominados Phone Log-Likelihood Ratios (PLLR), han sido introducidos como caracter´ýsticas alternativas a los MFCC-SDC para sistemas de Reconocimiento de la Lengua (RL) mediante iVectors. En este art´ýculo, tras una breve descripci´on de estas caracter´ýsticas, se proporcionan nuevas evidencias de su utilidad para tareas de RL, con un nuevo conjunto de experimentos sobre la base de datos Albayzin 2010 LRE, que contiene habla multi-locutor de banda ancha en seis lenguas diferentes: euskera, catal´an, gallego, espa�nol, portugu´es e ingl´es. Los sistemas de iVectors entrenados con PLLRs obtienen mejoras relativas significativas respecto a los sistemas fonot´acticos y sistemas de iVectors entrenados con caracter´ýsticas MFCC-SDC, tanto en condiciones de habla limpia como con habla ruidosa. Las fusiones de los sistemas PLLR con los sistemas fonot´acticos y/o sistemas basados en MFCC-SDC proporcionan mejoras adicionales en el rendimiento, lo que revela que las caracter´ýsticas PLLR aportan informaci´on complementaria en ambos casos

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