Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 638-641.doi: 10.11896/jsjkx.200500097

• Interdiscipline & Application • Previous Articles     Next Articles

PIFA-based Evaluation Platform for Speech Recognition System

CUI Yang1, LIU Chang-hong2   

  1. 1 College of Applied Technology,China University of Labor Relations,Beijing 100048,China
    2 College of Computer Information Engineering,Jiangxi Normal University,Nanchang 330022,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:CUI Yang,born in 1979,Ph.D,lecturer.His main research interests include knowledge engineering and knowledge discovery.
  • Supported by:
    This work was supported by the Research Project of China University of Labor Relations (20XYJS004) and National Natural Science Foundation of China (61662030).

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Abstract: There are many application fields of speech recognition technology,and the performance evaluation of the speech recognition system plays an important role in promoting the development of speech recognition technology.PIFA (PerformanceInfluen-cing Factor Analysis) based architecture of evaluation platform for speech recognition system is proposed by summarizing va-rious existing speech recognition evaluation methods to compare the performance of various speech systems better,and a platform with PIFA is implemented.The platform involves two key concepts,evaluation database and evaluation project,and includes mo-dules of evaluation data generation,data analysis,performance evaluation index calculation and performance influencing factors analysis.It can deal with multiple recognition tasks and many kinds of data,especially for speech recognition with large vocabulary and continuity.The evaluation results can be statistically analyzed by the platform to reveal the influence of various data attri-butes on the performance of the recognition system,and help the improvement of the speech recognition system.

Key words: Evaluation items, Evaluation library, Performance influencing factor analysis, PIFA, Speech recognition

CLC Number: 

  • TP311.1
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