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

Modeling spoken word recognition performance by pediatric cochlear implant users using feature identification.

S A Frisch1, D B Pisoni

  • 1Department of Linguistics, University of Michigan, Ann Arbor 48109-1285, USA.

Ear and Hearing
|January 2, 2001
PubMed
Summary

Computational simulations show that spoken word recognition in children with cochlear implants aligns with standard psycholinguistic theories. Performance is similar across coding strategies, suggesting a consistent cognitive process.

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

Auditory short-term memory and vowel perception.

Memory & cognition·2013
Same author

Development of visual attention skills in prelingually deaf children who use cochlear implants.

Ear and hearing·2005
Same author

Behavioral inhibition and clinical outcomes in children with cochlear implants.

The Laryngoscope·2005
Same author

Some measures of verbal and spatial working memory in eight- and nine-year-old hearing-impaired children with cochlear implants.

Ear and hearing·2001
Same author

Audio-visual perception of sinewave speech in an adult cochlear implant user: a case study.

Ear and hearing·2001
Same author

Use of audiovisual information in speech perception by prelingually deaf children with cochlear implants: a first report.

Ear and hearing·2001

Area of Science:

  • Linguistics
  • Auditory Neuroscience
  • Speech-Language Pathology

Background:

  • Understanding spoken word recognition in pediatric cochlear implant (CI) users is crucial for developing effective interventions.
  • Existing psycholinguistic models of word recognition need evaluation for their applicability to this population.
  • Assessing the relationship between different speech perception measures is important for comprehensive evaluation.

Purpose of the Study:

  • To computationally evaluate psycholinguistic theories of spoken word recognition in children using cochlear implants.
  • To investigate the interrelations between closed-set and open-set speech perception measures.
  • To compare the performance of cochlear implant coding strategies (MPEAK vs. SPEAK) within these models.

Main Methods:

Related Experiment Videos

  • Developed a software simulation of phoneme recognition using feature identification scores.
  • Created two lexical access simulations: one with early phoneme decisions, one with delayed decisions.
  • Applied simulated performance to behavioral data from the Phonetically Balanced Kindergarten and Lexical Neighborhood Tests.

Main Results:

  • Open-set word recognition was accurately predicted by feature identification scores.
  • No significant performance differences were found between MPEAK and SPEAK cochlear implant users.
  • The model with delayed phoneme decisions during lexical access best predicted word recognition ability.

Conclusions:

  • Spoken word recognition in pediatric CI users appears to follow the same fundamental cognitive processes as in normal-hearing individuals.
  • Both closed-set feature identification and open-set word recognition provide valuable, related insights into language processing.
  • Collecting both types of data can enhance clinical intervention strategies for children with cochlear implants.