Memorias de investigación
Communications at congresses:
Extended Phone Log-Likelihood Ratio Features and Acoustic-Based I-Vectors for Language Recognition
Year:2014
Research Areas
  • Electronic technology and of the communications,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
This paper presents new techniques with relevant improvements added to the primary system presented by our group to the Albayzin 2012 LRE competition, where the use of any additional corpora for training or optimizing the models was forbidden. In this work, we present the incorporation of an additional phonotactic subsystem based on the use of phone log-likelihood ratio features (PLLR) extracted from different phonotactic recognizers that contributes to improve the accuracy of the system in a 21.4% in terms of Cavg (we also present results for the official metric during the evaluation, Fact). We will present how using these features at the phone state level provides significant improvements, when used together with dimensionality reduction techniques, especially PCA. We have also experimented with applying alternative SDC-like configurations on these PLLR features with additional improvements. Also, we will describe some modifications to the MFCC-based acoustic i-vector system which have also contributed to additional improvements. The final fused system outperformed the baseline in 27.4% in Cavg.
International
Si
Congress
IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2014
960
Place
Florencia, Italia
Reviewers
Si
ISBN/ISSN
9781479928941
Start Date
04/05/2014
End Date
09/05/2014
From page
5342
To page
5346
Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2014
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica