Journal of Speech, Language, and Hearing Research Vol.55 1342-1355 October 2012. doi:10.1044/1092-4388(2012/11-0260)
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Article

New Sentence Recognition Materials Developed Using a Basic Non-Native English Lexicon

Lauren Calandruccioa
Rajka Smiljanicb
a Queens College of the City University of New York, Flushing
b University of Texas at Austin

Correspondence to Lauren Calandruccio, who is now with the University of North Carolina Chapel Hill School of Medicine, Division of Speech and Hearing Sciences: lauren.calandruccio{at}med.unc.edu

Purpose: The objective of this project was to develop new sentence test materials drawing on a basic non-native English lexicon that could be used to test speech recognition for various listener populations. These materials have been designed to provide a test tool that is less linguistically biased, compared with materials that are currently available, for sentence recognition for non-native as well as native speakers of English.

Method: One hundred non-native speakers of English were interviewed on a range of 20 conversational topics. Over 26 hr of recorded non-native English speech were transcribed. These transcriptions were used to create a lexicon of over 4,000 unique words. The words from this lexicon were used to create the new materials based on a simple syntactic sentence structure frame.

Results: Twenty lists of 25 sentences were developed. Each sentence has 4 keywords, providing 100 keywords per list. Lists were equated for rate of occurrence of keywords in lexicon, high-frequency count (total number of affricates and fricatives), number of syllables, and distribution of syntactic structure. Listening-in-noise results for native-English-speaking, normal-hearing listeners indicated similar performance across lists.

Conclusion: The Basic English Lexicon materials provide a large set of sentences for native and non-native English speech-recognition testing.

KEY WORDS: sentence testing, speech in noise, non-native English speaker


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