Queens College of the City University of New York, Flushing, USA.
J Speech Lang Hear Res. 2012 Oct;55(5):1342-55. doi: 10.1044/1092-4388(2012/11-0260). Epub 2012 Mar 12.
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.
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.
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.
The Basic English Lexicon materials provide a large set of sentences for native and non-native English speech-recognition testing.
本项目旨在开发新的句子测试材料，这些材料以基本的非英语词汇为基础，可用于测试各种听众群体的语音识别能力。与现有的材料相比，这些材料的设计目的是提供一种语言偏见较少的测试工具，不仅适用于非英语母语者，也适用于英语母语者的句子识别。
对 100 名非英语母语者进行了 20 个会话主题的访谈。记录了超过 26 小时的非英语母语者的录音，并对其进行了转录。这些转录被用来创建一个超过 4000 个独特单词的词汇表。从这个词汇表中选择单词，基于简单的句法句子结构框架来创建新材料。
共开发了 20 组 25 个句子，每组句子有 4 个关键词，每个列表共提供 100 个关键词。通过词汇表中关键词的出现频率、高频计数（塞擦音和擦音的总数）、音节数和句法结构分布对列表进行了平衡。对英语母语、正常听力的听众进行的噪声下听力测试结果表明，各列表的表现相似。
基础英语词汇材料为英语母语和非英语母语者的语音识别测试提供了大量的句子。
