Voice Degradation in Using Speech Recognisers for Transcribing Inventory Data.

Abstract

Problems arise in long sessions of voice tape-recording for off-line data entry to computers via speech recognition systems, as a result of operator fatigue or loss of attention. In this study the task of reading vehicle license plates aloud for one hour was simulated in laboratory conditions, each speaker undergoing on recording session with feedback conditions, each speaker undergoing one recording session with feedback on recognition accuracy and one without. No significant difference in recognition success rates between the two conditions was analysed acoustically for fatigue-induced changes both in long-term prosodic characteristics (including fundamental frequency, intensity, spectral balance and rate) and in segmental characteristics such as frequency of occurrence of different sound types and segmental durations. Although no consistent tendencies were found in all speakers. It is concluded although, the choice of speakers and conditions resulted in the more sophisticated techniques developed during the project on the basis on the automatic segmentation of continuous speech is capable of more revealing analysis than the relatively crude techniques used previously.

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Document Details

Document Type
Technical Report
Publication Date
Jan 10, 1987
Accession Number
ADA180096

Entities

People

  • H. R. Kirby
  • P. J. Roach

Organizations

  • University of Leeds

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Automated Speech Recognition
  • Automatic
  • Classification
  • Computers
  • Degradation
  • Frequency
  • Intensity
  • Linguistics
  • Measurement
  • Phonetics
  • Recognition
  • Sound Pressure
  • Speech
  • Tape Recording
  • Tapes
  • Vehicles

Readers

  • Control Systems Engineering.
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference