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Three Experiments on the Application of Automatic Speech Recognition in Industrial Environments

  • Ferdinand Fuhrmann
  • Anna Maly
  • Christina Leitner
  • Franz Graf
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10583)

Abstract

In this work we examine the performance of automatic speech recognition (ASR) in industrial applications. We particularly present three experiments relating to the capturing device applied, the signal pre-processing employed, and the recognition engine used. Here, our aim was to create experimental conditions as close as possible to the envisioned application, i.e., an industrial adoption of ASR. Our results show the existence of evident dependencies between the recognition engine, the type of capturing device, and the noise type on the one side, and the complexity of the task, the present Signal-to-Noise-Ratio (SNR), and the minimum-acceptable SNR value on the other side. In summary, this work gives an overview of the capabilities and limitations of nowadays ASR systems for an application in an industrial context.

Keywords

Speech recognition Industrial application Noise 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Ferdinand Fuhrmann
    • 1
  • Anna Maly
    • 1
  • Christina Leitner
    • 1
  • Franz Graf
    • 1
  1. 1.Joanneum ResearchInstitute for Information and Communication TechnologyGrazAustria

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