Evaluation of the Comprehension of Non-Continuous, Sped-Up Vocoded Speech: A Strategy for Coping with Fading HF (High Frequency) Channels.

Abstract

A novel technique for coping with fading and burst noise on high frequency channels used for digital voice communication has been developed and evaluated. The technique transmits digital voice only during the high signal-to-noise ratio time intervals, i.e., channel on times, and speeds up the speech when necessary in order to avoid delays which would hinder conversation. The technique was evaluated using a model of the human speech comprehension process, which was tested using a spoken version of a reading comprehension test. The test involved fifteen spoken, two-minute paragraphs processed by a real-time channel vocoder simulation which had been modified to also simulate the on/off characteristics of a fading high frequency channel. Using a speed-up factor of 1.5, the percentage of correct test responses verified the comprehension model. If the average on time is longer than about two seconds or the average channel off time is shorter than about one-half second, then the speech is comprehensible. Since these conditions are met for most disturbed and undisturbed ionospheric conditions, it is concluded that the sped-up speech technique is appropriate for high frequency digital voice communication systems. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 05, 1984
Accession Number
ADA138650

Entities

People

  • B. Gold
  • C. J. Bowers
  • J. T. Lynch
  • J. Tierney

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Communication Equipment
  • Communication Systems
  • Comprehension
  • Data Analysis
  • Data Rate
  • Digital Communications
  • Frequency
  • Intervals
  • Ionosphere
  • Packet Switching
  • Perception
  • Processing Equipment
  • Simulations
  • Speech Transmission
  • Time Intervals
  • Voice Communications

Readers

  • Mathematics or Statistics
  • Parallel and Distributed Computing.
  • Speech Processing/Speech Recognition.