**Introduction** Global TIMIT L1 Tianjin - L2 English (LDC2026S13) was developed by the Linguistic Data Consortium and Tianjin University and consists of approximately 43 hours of read speech and transcripts in the Tianjin dialect of Mandarin Chinese and English. The Global TIMIT project aimed to create a series of corpora in a variety of languages with a similar set of key features of 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 (calibration), others read by a few speakers (shared), and others read by just one speaker (unique) **Data** Global TIMIT L1 Tianjin - L2 English consists of 50 speakers reading sentences from the following sources: Simple Chinese - 120 sentences selected to represent everyday Chinese Chinese Newswire - 120 sentences selected from Chinese Gigaword Fifth Edition (LDC2011T13) Simple English - 120 sentences selected from TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1) as representative of everyday English English Newswire - 120 sentences selected from the Wall Street Journal subset of Treebank-3 (LDC99T42) The corpus was collected at Tianjin University, China. Speakers (25 female, 25 male) were born and raised in one of the six urban districts in Tianjin, China and spoke Tianjin. They were also fluent in English based on passing scores on a standard English assessment test. All recordings were force aligned into word, phone and tone segments. Tianjin recordings were aligned using the Montreal Forced Aligner. English rcordings were aligned using the Penn Forced Aligner and the CMU Pronouncing Dictionary. Each recording file has corresponding phone, tone, and word segmentation files and Praat TextGrid files. Speech data is presented as 16kHz, 16-bit flac compressed wav files. **Updates** No updates at this time.

Creator(s)

Hui Feng

Jiahong Yuan

Neville Ryant

Danni Ma

Mark Liberman

Distributor(s)

Linguistic Data Consortium

Right Holder(s)

Linguistic Data Consortium