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
Journal:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Year of publication: 2013

Issue: 51

Pages: 153-160

Type: Article

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Abstract

Phone Log-Likelihood Ratios (PLLR) have been recently proposed as alternative features to MFCC-SDC for iVector Spoken Language Recognition (SLR). In this paper, PLLR features are first described, and then further evidence of their usefulness for SLR tasks is provided, with a new set of experiments on the Albayzin 2010 LRE dataset, which features wide-band multi speaker TV broadcast speech on six languages: Basque, Catalan, Galician, Spanish, Portuguese and English. iVector systems built using PLLR features, computed by means of three open-source phone decoders, achieved significant relative improvements with regard to the phonotactic and MFCC-SDC iVector systems in both clean and noisy speech conditions. Fusions of PLLR systems with the phonotactic and/or the MFCC-SDC iVector systems led to improved performance, revealing that PLLR features provide complementary information in both cases

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