爪哇语,巽他语,僧伽罗语,尼泊尔语和孟加拉语的众包语音语料库

Oddur Kjartansson, Supheakmungkol Sarin, Knot Pipatsrisawat, Martin Jansche, Linne Ha
{"title":"爪哇语,巽他语,僧伽罗语,尼泊尔语和孟加拉语的众包语音语料库","authors":"Oddur Kjartansson, Supheakmungkol Sarin, Knot Pipatsrisawat, Martin Jansche, Linne Ha","doi":"10.21437/SLTU.2018-11","DOIUrl":null,"url":null,"abstract":"We present speech corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali. Each corpus consists of an average of approximately 200k recorded utterances that were provided by native-speaker volunteers in the respective region. Recordings were made using portable consumer electronics in reasonably quiet environments. For each recorded utterance the textual prompt and an anonymized hexadecimal identifier of the speaker are available. Biographical information of the speakers is unavailable. In particular, the speakers come from an unspeci-fied mix of genders. The recordings are suitable for research on acoustic modeling for speech recognition, for example. To validate the integrity of the corpora and their suitability for speech recognition research, we provide simple recipes that illustrate how they can be used with the open-source Kaldi speech recognition toolkit. The corpora are being made available under a Creative Commons license in the hope that they will stimulate further research on these languages.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Crowd-Sourced Speech Corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali\",\"authors\":\"Oddur Kjartansson, Supheakmungkol Sarin, Knot Pipatsrisawat, Martin Jansche, Linne Ha\",\"doi\":\"10.21437/SLTU.2018-11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present speech corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali. Each corpus consists of an average of approximately 200k recorded utterances that were provided by native-speaker volunteers in the respective region. Recordings were made using portable consumer electronics in reasonably quiet environments. For each recorded utterance the textual prompt and an anonymized hexadecimal identifier of the speaker are available. Biographical information of the speakers is unavailable. In particular, the speakers come from an unspeci-fied mix of genders. The recordings are suitable for research on acoustic modeling for speech recognition, for example. To validate the integrity of the corpora and their suitability for speech recognition research, we provide simple recipes that illustrate how they can be used with the open-source Kaldi speech recognition toolkit. The corpora are being made available under a Creative Commons license in the hope that they will stimulate further research on these languages.\",\"PeriodicalId\":190269,\"journal\":{\"name\":\"Workshop on Spoken Language Technologies for Under-resourced Languages\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Spoken Language Technologies for Under-resourced Languages\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21437/SLTU.2018-11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Spoken Language Technologies for Under-resourced Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/SLTU.2018-11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 51

摘要

我们提供爪哇语、巽他语、僧伽罗语、尼泊尔语和孟加拉语的演讲语料库。每个语料库平均包含大约20万段由各自地区的母语志愿者提供的话语记录。录音是在相当安静的环境中使用便携式消费电子设备进行的。对于每一个记录的话语,文本提示和说话人的匿名十六进制标识符是可用的。无法获得演讲者的个人资料。特别值得一提的是,说话者来自一个性别不明的混合体。例如,这些录音适合用于语音识别的声学建模研究。为了验证语料库的完整性及其对语音识别研究的适用性,我们提供了简单的食谱,说明如何将它们与开源的Kaldi语音识别工具包一起使用。这些语料库是在知识共享许可下提供的,希望它们能促进对这些语言的进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crowd-Sourced Speech Corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali
We present speech corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali. Each corpus consists of an average of approximately 200k recorded utterances that were provided by native-speaker volunteers in the respective region. Recordings were made using portable consumer electronics in reasonably quiet environments. For each recorded utterance the textual prompt and an anonymized hexadecimal identifier of the speaker are available. Biographical information of the speakers is unavailable. In particular, the speakers come from an unspeci-fied mix of genders. The recordings are suitable for research on acoustic modeling for speech recognition, for example. To validate the integrity of the corpora and their suitability for speech recognition research, we provide simple recipes that illustrate how they can be used with the open-source Kaldi speech recognition toolkit. The corpora are being made available under a Creative Commons license in the hope that they will stimulate further research on these languages.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信