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New sentence recognition materials developed using a basic non-native English lexicon.

Lauren Calandruccio¹, Rajka Smiljanic

¹Queens College of the City University of New York, Flushing, USA. lauren.calandruccio@med.unc.edu

Journal of Speech, Language, and Hearing Research : JSLHR

|March 14, 2012

Summary

New speech recognition test materials were developed using a basic English lexicon. These less linguistically biased materials aid speech recognition testing for both native and non-native English speakers.

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Area of Science:

Linguistics
Speech-Language Pathology
Audiology

Background:

Current speech recognition tests may exhibit linguistic bias.
A need exists for less biased testing materials for diverse listener populations.

Purpose of the Study:

Develop novel sentence test materials using a basic, non-native English lexicon.
Create a speech recognition test tool with reduced linguistic bias for native and non-native English speakers.

Main Methods:

Interviewed 100 non-native English speakers across 20 topics.
Transcribed over 26 hours of non-native English speech.
Developed a lexicon of over 4,000 unique words to create new test sentences with simple syntactic structures.

Main Results:

Created 20 lists, each with 25 sentences and 4 keywords (100 keywords/list).
Equated lists based on keyword frequency, phonetic features (affricates/fricatives), syllable count, and syntax.
Native English speakers showed similar performance across lists in listening-in-noise tests.

Conclusions:

The developed Basic English Lexicon materials offer a comprehensive sentence set.
These materials are suitable for speech recognition testing across various listener groups, including non-native English speakers.