Analysis of Phonetic Balance in Standard English Passages

Author:

Lammert Adam C.1,Melot Jennifer2,Sturim Douglas E.3,Hannon Daniel J.3,DeLaura Richard3,Williamson James R.3,Ciccarelli Gregory3,Quatieri Thomas F.3

Affiliation:

1. Biomedical Engineering Department, Worcester Polytechnic Institute, MA

2. Center for Security and Emerging Technology, Washington, DC

3. MIT Lincoln Laboratory, Lexington, MA

Abstract

Purpose A common way of eliciting speech from individuals is by using passages of written language that are intended to be read aloud. Read passages afford the opportunity for increased control over the phonetic properties of elicited speech, of which phonetic balance is an often-noted example. No comprehensive analysis of the phonetic balance of read passages has been reported in the literature. The present article provides a quantitative comparison of the phonetic balance of widely used passages in English. Method Assessment of phonetic balance is carried out by comparing the distribution of phonemes in several passages to distributions consistent with typical spoken English. Data regarding the distribution of phonemes in spoken American English are aggregated from the published literature and large speech corpora. Phoneme distributions are compared using Spearman rank order correlation coefficient to quantify similarities of phoneme counts in those sources. Results Correlations between phoneme distributions in read passages and aggregated material representative of spoken American English ranged from .70 to .89. Correlations between phoneme counts from all passages, literature sources, and corpus sources ranged from .55 to .99. All correlations were statistically significant at the Bonferroni-adjusted level. Conclusions Passages considered in the present work provide high, but not ideal, phonetic balance. Space exists for the creation of new passages that more closely match the phoneme distributions observed in spoken American English. The Caterpillar provided the best phonetic balance, but phoneme distributions in all considered materials were highly similar to each other.

Publisher

American Speech Language Hearing Association

Subject

Speech and Hearing,Linguistics and Language,Language and Linguistics

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