Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Continuous versus discrete information processing in pattern recognition

D W Massaro1, M M Cohen

  • 1Program in Experimental Psychology, University of California, Santa Cruz 95064, USA.

Acta Psychologica
|November 1, 1995
PubMed
Summary

The fuzzy logical model of perception (FLMP) better explains how people rate spoken vowels. Continuous information about vowel features like first formant frequency and duration improves predictions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Perceiving affect from the voice and the face.

Psychonomic bulletin & review·2013
Same author

Letters are functional in word identification.

Memory & cognition·2013
Same author

Modeling face identification processing in children and adults.

Journal of experimental child psychology·2001
Same author

Bayes factor of model selection validates FLMP.

Psychonomic bulletin & review·2001
Same author

Tests of auditory-visual integration efficiency within the framework of the fuzzy logical model of perception.

The Journal of the Acoustical Society of America·2000
Same author

Speech perception in perceivers with hearing loss: synergy of multiple modalities.

Journal of speech, language, and hearing research : JSLHR·1999

Area of Science:

  • Speech perception research
  • Auditory cognition
  • Acoustic phonetics

Background:

  • Understanding how humans perceive and categorize speech sounds is crucial for fields like linguistics and artificial intelligence.
  • Previous models have proposed discrete or continuous processing of acoustic features in speech perception.

Purpose of the Study:

  • To compare the predictive accuracy of a discrete feature model (DFM) and a fuzzy logical model of perception (FLMP) for vowel categorization.
  • To investigate how acoustic features (first formant frequency and duration) influence rating judgments between the vowels /i/ and /I/.

Main Methods:

  • Subjects rated spoken vowels on a nine-point scale distinguishing /i/ (beet) from /I/ (bit).
  • First formant frequency (F1) and vowel duration were orthogonally varied.

Related Experiment Videos

  • Data were analyzed to test predictions from both the DFM and FLMP.

    • Main Results:

    • The fuzzy logical model of perception (FLMP), which assumes continuous information processing, provided a significantly better fit to the observed rating data.
    • The discrete feature model (DFM), which assumes discrete feature recognition, was less effective in describing the distribution of judgments.

    Conclusions:

    • Continuous information processing of acoustic features is more critical for accurate vowel perception than discrete processing.
    • The FLMP offers a more robust framework for modeling human speech categorization, particularly for subtle vowel distinctions.