Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
n-gram Frequency Ranking with additional sources of information in a multiple-Gaussian classifier for Language Identification
Year:2008
Research Areas
  • Artificial intelligence,
  • Electronics engineering
Information
Abstract
We present new results of our n-gram frequency ranking used for language identification. We use a Parallel phone recognizer (as in PPRLM), but instead of the language model, we create a ranking with the most frequent n-grams. Then we compute the distance between the input sentence ranking and each language ranking, based on the difference in relative positions for each n-gram. The objective of this ranking is to model reliably a longer span than PPRLM. This approach overcomes PPRLM (15% relative improvement) due to the inclusion of 4-gram and 5-gram in the classifier. We will also see that the combination of this technique with other sources of information (feature vectors in our classifier) is also advantageous over PPRLM, showing also a detailed analysis of the relevance of these sources and a simple feature selection technique to cope with long feature vectors. The test database has been significantly increased using cross-fold validation, so comparisons are now more reliable.
International
No
Congress
V Jornadas de Tecnología del Habla
960
Place
Bilbao
Reviewers
Si
ISBN/ISSN
978-84-9860-169-5
Start Date
12/11/2008
End Date
14/11/2008
From page
49
To page
52
Actas de V Jornadas de Tecnología del Habla
Participants
  • Autor: Ricardo de Cordoba Herralde (UPM)
  • Autor: Juan Manuel Lucas Cuesta (UPM)
  • Autor: Javier Zugasti Raposo (UPM)
  • Autor: Luis Fernando D'Haro Enriquez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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