Effects of Voice Coding and Speech Rate on a Synthetic Speech Display in a Telephone Information System

Abstract

Despite the lack of formal guidelines, synthetic speech displays are used in a growing variety of applications. Telephone information systems permitting human-computer interaction from remote locations are an especially popular implementation of computer-generated speech. Currently, human factors research is needed to specify design characteristics providing usable telephone information systems as defined by task performance and user ratings. Previous research used nonintegrated tasks such as transcription of phonetic syllables, words, or sentences to assess task performance or user preference differences. This study used a computer-driven telephone information system as a real-time, human-computer interface to simulate applications where synthetic speech is used to access data. Subjects used a telephone keypad to navigate through an automated, department store database to locate and transcribe specific information messages. Because speech provides a sequential and transient information display, users may have difficulty navigating through auditory databases. One issue investigated in this study was whether use of alternating male and female voices to code different levels in the database hierarchy would improve user search performance. Other issues investigated were basic intelligibility of these male and female voices as influenced by different levels of speech rate. All factors were assessed as functions of search or transcription task performance and user preference.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA196295

Entities

People

  • David W. Herlong

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Cognitive Systems Engineering
  • Computer Programming
  • Computers
  • Data Analysis
  • Data Science
  • Databases
  • Human Factors Engineering
  • Industrial Engineering
  • Information Processing
  • Information Retrieval
  • Information Science
  • Information Systems
  • Operations Research
  • Statistical Analysis
  • Task Performance And Analysis
  • United States

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Neural Network Machine Learning.
  • Psychometric Testing or Psychological Assessment.