Models of Pitch Perception

Abstract

Two pitch perception modeling algorithms are described. The first algorithm models periodicity pitch perception, and the second algorithm models place pitch perception. The two models are now applied to various psychoacoustic stimuli. Both periodicity and place models yield results that are in general agreement with psychoacoustic measurements for the missing fundamental and for inharmonic stimuli. The place algorithm proved to be a better approximation than periodicity for processing comb-filtered noise. Periodicity was more successful for periodic pulse train stimuli.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1992
Accession Number
ADA256778

Entities

People

  • Ben Gold
  • Tim Aarset

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Auditory Nerve
  • Availability
  • Detection
  • Detectors
  • Digital Signal Processing
  • Frequency
  • Harmonics
  • Heart Rate
  • Measurement
  • Membranes
  • Perception
  • Periodic Variations
  • Signal Processing
  • Statistical Analysis

Readers

  • Computational Modeling and Simulation
  • Speech Processing/Speech Recognition.