Feature Extraction and Decision Processes in the Classification of Amplitude Modulated Noise Patterns.
Abstract
The relation between the perceptual features identified in a multidimensional scaling (MDS) analysis and the decision stage of the auditory classification process was investigated in four experiments based upon a set of sixteen complex acoustic patterns. The sounds consisted of broad-band white noise, amplitude modulated by sawtooth waves of varying frequency and attack. Overall, results of the four experiments indicated that listeners employed an optimum-processor strategy to determine the relative importance of each feature in the decision process. The findings indicate that any theoretical treatment of auditory pattern recognition must address the interaction of the feature extraction and decision processes.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1978
- Accession Number
- ADA058424
Entities
People
- Donald C. Burgy
- James A. Ballas
- James H. Howard Jr.
Organizations
- The Catholic University of America