Difficulty in Learning to Read Speech Spectrograms: The Role of Visual Segmentation

Abstract

This work examines possible sources of training difficulty encountered by learners of speech spectrogram reading. Such difficulty has been attributed to the context-dependent nature of the visual segmentation of spectrogram patterns (Liberman et al, 1968), and suggestions by researchers of other difficult skills (Biederman & Shiffrar, 1983) have also implicated visual segmentation. In both cases, the discriminations necessary to distinguish important parts can be easily made once identified, but are enormously difficult to discover. The experiments presented here used a pseudo-spectrogram reading task which varied the segmentation rules subjects were required to discover. Experiment 1 found that considerable learning difficulty could be produced by this task, but confounded the source of that difficulty among several factors. The second experiment attempted to identify the sources of the difficulty. Segmentation was found to contribute significantly. The salience of the important cues, and potentially, the demands of the learning task were also found to increase the difficulty of discovering important visual distinctions. These results are discussed with respect to the skill of spectrogram reading and theories of perceptual attention learning. Training difficulty; Context- dependent; Visual segmentation; Spectrograms; Speech spectrogram reading; Learning difficulties; Task demands; Salience; Educational psychology.

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Document Details

Document Type
Technical Report
Publication Date
Feb 07, 1990
Accession Number
ADA218827

Entities

People

  • Gareth Gabrys

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computer Science
  • Education
  • Engineering
  • Geography
  • Information Processing
  • Linguistics
  • Military Research
  • New York
  • Psychology
  • Security
  • Social Sciences
  • Students
  • Systems Engineering
  • United States

Fields of Study

  • Education

Readers

  • Speech Processing/Speech Recognition.
  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.