遇见数据集

Chulalongkorn Corpus of Spoken Thai

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Zenodo2026-03-05 更新2026-05-26 收录
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README — Chulalongkorn Corpus of Spoken Thai (CCOST) Overview CCOST is a phonetically annotated corpus of Standard Thai comprising approximately 7 hours of spontaneous speech and 5 hours of controlled speech (word list and sentence readings) from 49 speakers. Full details are provided in the accompanying paper (see citation below). Files File Description C-COST.zip Main corpus: audio files (.wav) and annotations (.TextGrid) CCOST_metadata.csv Speaker and recording metadata (one row per file) wordlist.csv The 206-item monosyllabic word list used in the reading task sentences.txt The 25 sentences used in the reading task Interview schedule.pdf Semi-structured interview guide used for elicitation CCOST_manual.pdf Annotation manual for force alignment correction and transcription check_audio_quality_praat Praat script used for automated audio quality assessment Pittayaporn et al 2026_CCOST preprint of LREC 2026 conference proceedings (CC-BY-NC License) Metadata abbreviations Abbreviation Meaning BKK Bangkok SNR Signal-to-noise ratio dB Decibels dBFS Decibels relative to full scale s. Seconds INT Interview WL Word list ST Sentence task YOB Year of birth Year_to_BKK Year the speaker moved to Bangkok (if applicable) Age_Group Speaker age group category Audio file naming convention Files follow the format: ccost_S[n]_[task]_[filenumber] S[n]: Speaker number (e.g., S32 = 32nd speaker) Task: INT (interview), WL (word list), ST (sentence) File number: Order of recording; combined files listed as a sequence (e.g., WL_12 = sections 1 and 2 combined) License CC-BY-NC-SA 4.0. You are free to share and adapt this material for non-commercial purposes, provided you give appropriate credit and distribute any derivatives under the same license. Citation Pittayawat Pittayaporn, Cathryn Yang, Sujinat Jitwiriyanont, and James Kirby. in press. The Chulalongkorn Corpus of Spoken Thai (CCOST). In Proceedings of the 15th Language Resources and Evaluation Conference (LREC 2026), Palma de Mallorca, Spain. European Language Resources Association (ELRA).

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