Detail publikace

Tuning Phonotactic Language Identificaion System

Pavel Matejka, Petr Schwarz, Jan Cernocky, Pavel Chytil

Originální název

Tuning Phonotactic Language Identificaion System

Anglický název

Tuning Phonotactic Language Identificaion System

Jazyk

en

Originální abstrakt

This report provides brief description of Language Identification (LID) system based on phoneme recognizer followed by language models (PRLM). Tuning phoneme recognizers for this task can increase performance of the whole system. Reported results are on data from NIST 2003 LID evaluation. Our system has Equal Error Rate (EER) 5.4\% on task with 12 languages. This result compares favorably to the best known Parallel PRLM results from this evaluation.

Anglický abstrakt

This report provides brief description of Language Identification (LID) system based on phoneme recognizer followed by language models (PRLM). Tuning phoneme recognizers for this task can increase performance of the whole system. Reported results are on data from NIST 2003 LID evaluation. Our system has Equal Error Rate (EER) 5.4\% on task with 12 languages. This result compares favorably to the best known Parallel PRLM results from this evaluation.

Dokumenty

BibTex


@techreport{BUT65207,
  author="Pavel {Matějka} and Petr {Schwarz} and Jan {Černocký} and Pavel {Chytil}",
  title="Tuning Phonotactic Language Identificaion System",
  annote="This report provides brief
description of Language Identification (LID) system based on
phoneme recognizer followed by language models (PRLM). Tuning
phoneme recognizers for this task can increase performance of the
whole system. Reported results are on data from NIST 2003 LID
evaluation. Our system has Equal Error Rate (EER) 5.4\% on task
with 12 languages. This result compares favorably to the best
known Parallel PRLM results from this evaluation.",
  booktitle="Technical Report",
  chapter="65207",
  year="2005",
  month="april",
  pages="1",
  type="report"
}