Jiahong Yuan, Hongwei Ding, Sishi Liao, Yuqing Zhan, M. Liberman
{"title":"汉语TIMIT:一个类似于TIMIT的标准汉语语料库","authors":"Jiahong Yuan, Hongwei Ding, Sishi Liao, Yuqing Zhan, M. Liberman","doi":"10.1109/ICSDA.2017.8384463","DOIUrl":null,"url":null,"abstract":"This paper describes an effort to build a TIMIT-like corpus in Standard Chinese, which is part of our \"Global TIMIT\" project. Three steps are involved and detailed in the paper: selection of sentences; speaker recruitment and recording; and phonetic segmentation. The corpus consists of 6000 sentences read by 50 speakers (25 females and 25 males). Phonetic segmentation obtained from forced alignment is provided, which has 93.2% agreement (of phone boundaries) within 20 ms compared to manual segmentation on 50 randomly selected sentences. Statistics on the number of tokens and mean duration of phones and tones in the corpus are also reported. Males have shorter phones/tones but more and longer utterance internal silences than females, demonstrating that males in this dataset speak faster but pause more frequently and longer.","PeriodicalId":255147,"journal":{"name":"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Chinese TIMIT: A TIMIT-like corpus of standard Chinese\",\"authors\":\"Jiahong Yuan, Hongwei Ding, Sishi Liao, Yuqing Zhan, M. Liberman\",\"doi\":\"10.1109/ICSDA.2017.8384463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an effort to build a TIMIT-like corpus in Standard Chinese, which is part of our \\\"Global TIMIT\\\" project. Three steps are involved and detailed in the paper: selection of sentences; speaker recruitment and recording; and phonetic segmentation. The corpus consists of 6000 sentences read by 50 speakers (25 females and 25 males). Phonetic segmentation obtained from forced alignment is provided, which has 93.2% agreement (of phone boundaries) within 20 ms compared to manual segmentation on 50 randomly selected sentences. Statistics on the number of tokens and mean duration of phones and tones in the corpus are also reported. Males have shorter phones/tones but more and longer utterance internal silences than females, demonstrating that males in this dataset speak faster but pause more frequently and longer.\",\"PeriodicalId\":255147,\"journal\":{\"name\":\"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)\",\"volume\":\"135 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSDA.2017.8384463\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSDA.2017.8384463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chinese TIMIT: A TIMIT-like corpus of standard Chinese
This paper describes an effort to build a TIMIT-like corpus in Standard Chinese, which is part of our "Global TIMIT" project. Three steps are involved and detailed in the paper: selection of sentences; speaker recruitment and recording; and phonetic segmentation. The corpus consists of 6000 sentences read by 50 speakers (25 females and 25 males). Phonetic segmentation obtained from forced alignment is provided, which has 93.2% agreement (of phone boundaries) within 20 ms compared to manual segmentation on 50 randomly selected sentences. Statistics on the number of tokens and mean duration of phones and tones in the corpus are also reported. Males have shorter phones/tones but more and longer utterance internal silences than females, demonstrating that males in this dataset speak faster but pause more frequently and longer.
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