An illustrated methodology for evaluating ASR systems

  • Authors:
  • María González;Julián Moreno;José Luis Martínez;Paloma Martínez

  • Affiliations:
  • Computer Science Department, Universidad Carlos III de Madrid, Leganés, Madrid, Spain;Computer Science Department, Universidad Carlos III de Madrid, Leganés, Madrid, Spain;DAEDALUS - Data, Decisions and Language S.A., Madrid, Spain;Computer Science Department, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

  • Venue:
  • AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
  • Year:
  • 2011

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Abstract

Automatic speech recognition technology can be integrated in an information retrieval process to allow searching on multimedia contents. But, in order to assure an adequate retrieval performance is necessary to state the quality of the recognition phase, especially in speaker-independent and domainindependent environments. This paper introduces a methodology to accomplish the evaluation of different speech recognition systems in several scenarios considering also the creation of new corpora of different types (broadcast news, interviews, etc.), especially in other languages apart from English that are not widely addressed in speech community.