*Introduction* Global TIMIT Learner Simple English was developed by the Linguistic Data Consortium and Shanghai Jiao Tong University and consists of approximately 12 hours of L1 and L2 English read speech and transcripts. The Global TIMIT project aimed to create a series of corpora in a variety of languages with a similar set of key features as in the original TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1) which was designed for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. Specifically, these features included: * A large number of fluently-read sentences, containing a representative sample of phonetic, lexical, syntactic, semantic, and pragmatic patterns * A relatively large number of speakers * Time-aligned lexical and phonetic transcription of all utterances * Some sentences read by all speakers, others read by a few speakers, and others read by just one speaker *Data* Global TIMIT Learner Simple English consists of two separate data sets of 50 speakers reading 120 sentences from the original TIMIT data set. These sentences were selected as "simple" to read by Chinese learners of English. Among the 120 sentences, 20 sentences were read by all speakers, 40 sentences were read by 10 speakers, and 60 sentences were read by five speakers, for a total of 820 sentence types. L1 Simple English was recorded at the University of Pennsylvania, USA; participants were 25 female and 25 male native American English speakers. L2 Simple English was recorded at Shanghai Jiao Tong University, China. L2 speakers (25 female, 25 male) were Chinese learners of English considered fluent. All speech data are presented as 16kHz, 16-bit flac compressed wav files. Each file has accompanying phone and word segmentation files, as well as Praat TextGrid files. *Acknowledgements* The authors acknowledge the generous support of the University of Pennsylvania's Office of the Vice Provost for Global Initiatives (PennGlobal) through its Penn China Research and Engagement Fund, and the School of Arts and Sciences through its Global Engagement Fund as well as the Linguistic Data Consortium.

Creator(s)

Hongwei Ding

Sishi Liao

Yuqing Zhan

Hui Feng

Wenchao He

Xiaoyan Hu

Yu Wu

Mark Liberman

Jiahong Yuan

Distributor(s)

Linguistic Data Consortium

Right Holder(s)

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