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Memorias de investigación
Artículos en revistas:
Language Recognition Using Neural Phone Embeddings and RNNLMs
Año:2018
Áreas de investigación
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
New advances in Language Identification (LID) using Recurrent Neural Networks (RNNs) and Neural Embeddings have been proposed recently. While their application has been successfully applied at a word level, results at a phoneme level may not be as good because of the greater variability found in phoneme sequences which reduces LID accuracy. Thus, we propose to use phonetic units called ?phone-grams? that implicitly include longer-context information and use them to train neural embeddings and RNN language models (RNNLMs). Neural embeddings are used in a pre-processing data phase to reduce the scattering problem produced by the high number of resulting phone-gram units, and, in a second phase, we have used the RNNLMs to obtain the scores of each language in the identification task following a PPRLM structure. Results in terms of Cavg on the KALAKA-3 database show that the use of phone-grams provides up to 14.4% relative improvement over a baseline using only phonemes as features. In addition, our proposed strategy of reducing the number of phone-gram units using neural embeddings contributes to obtain up to 23.0% relative improvement. Finally, fusing the best system with MFCC-based acoustic i-vectors and a traditional PPRLM architecture provides up to 39.3% improvement.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Latin America Transactions
ISSN
1548-0992
Factor de impacto JCR
0,631
Información de impacto
Datos JCR del año 2016
Volumen
DOI
Número de revista
Desde la página
1
Hasta la página
8
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Christian Raúl Salamea Palacios (UPM)
  • Autor: Ricardo de Cordoba Herralde (UPM)
  • Autor: Luis Fernando D'Haro Enriquez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Ingeniería Electrónica
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