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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Phonological Distance Measures.

Nathan C Sanders1, Steven B Chin

  • 1Department of Linguistics, Indiana University.

Journal of Quantitative Linguistics
|April 22, 2010
PubMed
Summary
This summary is machine-generated.

This study compares two computational methods for measuring phonological distance in pediatric cochlear implant users. Maximum likelihood distance shows high correlation with Levenshtein distance and manual transcriptions.

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Area of Science:

  • Computational linguistics
  • Speech processing
  • Audiology

Background:

  • Phonological distance is crucial for understanding speech variations.
  • Computational measures offer objective quantification.
  • Pediatric cochlear implant users present unique speech intelligibility challenges.

Purpose of the Study:

  • To compare two computational phonological distance measures: Levenshtein distance and maximum likelihood distance.
  • To evaluate these measures against naive transcriptions of pediatric cochlear implant users' speech.
  • To assess the feasibility of using these measures with lower-intelligibility speech.

Main Methods:

  • Implemented Levenshtein distance (Nerbonne & Heeringa, 1997).
  • Adapted Dunning's (1994) language classifier for maximum likelihood distance.
  • Collected and transcribed speech data from pediatric cochlear implant users.
  • Correlated computational measures with manual transcriptions.

Main Results:

  • Maximum likelihood distance demonstrated a high correlation with Levenshtein distance.
  • Both computational measures correlated highly with naive transcriptions.
  • The maximum likelihood distance measure proved effective for the lower-intelligibility speech corpus.

Conclusions:

  • Maximum likelihood distance is a viable and highly correlated measure for phonological distance in pediatric cochlear implant speech.
  • Computational phonological distance measures can be effectively applied to challenging speech corpora.
  • This facilitates research on speech intelligibility in special populations.