This paper introduces a non-native speech corpus consisting of narratives
from fifty 5- to 6-year-old Chinese-English children. Transcripts totaling 6.5
hours of children taking a narrative comprehension test in English (L2) are
presented, along with human-rated scores and annotations of grammatical and
pronunciation errors. The children also completed the parallel MAIN tests in
Chinese (L1) for reference purposes. For all tests we recorded audio and video
with our innovative self-developed remote collection methods. The video
recordings serve to mitigate the challenge of low intelligibility in L2
narratives produced by young children during the transcription process. This
corpus offers valuable resources for second language teaching and has the
potential to enhance the overall performance of automatic speech recognition
(ASR).

本研究介绍了一个由 50 名中英双语 5-6 岁儿童故事叙述构成的非母语英语语音语料库，提供了 6.5 个小时的儿童在英语（L2）故事理解测试中的文本、语法和发音错误的标注记录和人工评级分数。本语料库可用于第二语言教学，并有助于提高自动语音识别（ASR）的总体性能。