Hybrid approach for language identification oriented to multilingual speech recognition in the basque context

  • Authors:
  • N. Barroso;K. López de Ipiña;A. Ezeiza;O. Barroso;U. Susperregi

  • Affiliations:
  • Irunweb Enterprise, Irun, Spain;Departamento de Ingeniería de Sistemas y Automática, Grupo de Inteligencia Computacional, Escuela Politécnica Universidad del País Vasco/Euskal Herriko Unibertsitatea, Donostia;Departamento de Ingeniería de Sistemas y Automática, Grupo de Inteligencia Computacional, Escuela Politécnica Universidad del País Vasco/Euskal Herriko Unibertsitatea, Donostia;Irunweb Enterprise, Irun, Spain;Irunweb Enterprise, Irun, Spain

  • Venue:
  • HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
  • Year:
  • 2010

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Abstract

The development of Multilingual Large Vocabulary Continuous Speech Recognition systems involves issues as: Language Identification, Acoustic-Phonetic Decoding, Language Modelling or the development of appropriated Language Resources The interest on Multilingual Systems arouses because there are three official languages in the Basque Country (Basque, Spanish, and French), and there is much linguistic interaction among them, even if Basque has very different roots than the other two languages This paper describes the development of a Language Identification (LID) system oriented to robust Multilingual Speech Recognition for the Basque context The work presents hybrid strategies for LID, based on the selection of system elements by Support Vector Machines and Multilayer Perceptron classifiers and stochastic methods for speech recognition tasks (Hidden Markov Models and n-grams).