Discrimination of Noise-Like Sounds Involving Multiple Interacting Features.

Abstract

The objective of experiments reported here was to analyze the effect of feature interactions on discrimination performance with complex, noise-like sounds. Sixteen pairs of laboratory-generated sounds were used. Acoustic features composing the stimuli included octave bands of noise and amplitude modulation of noise bands by a 10-Hz square wave. Within each sound pair, signals differed by one or more dichotomous features, features present in one signal and not in the other. The thesis presents a feature extraction model for discrimination, incorporating concepts from signal detection theory and auditory information processing. Interactions between features are hypothesized wherein the presence of one feature affects the detectability of another.

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Document Details

Document Type
Technical Report
Publication Date
May 25, 1978
Accession Number
ADA057972

Entities

People

  • Douglas W. Martin

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Amplitude Modulation
  • Automated Speech Recognition
  • Background Noise
  • Data Science
  • Detection
  • Discrimination
  • Ear
  • Experimental Design
  • Feature Extraction
  • Frequency Bands
  • Information Processing
  • Information Science
  • Information Theory
  • Modulation
  • Psychology
  • Signal Detection
  • Square Waves

Readers

  • Acoustical Oceanography.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML