OLAC Record oai:www.ldc.upenn.edu:LDC2016S02 |
Metadata | ||
Title: | IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c | |
Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
Bibliographic Citation: | Andrus, Tony, et al. IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c LDC2016S02. Web Download. Philadelphia: Linguistic Data Consortium, 2016 | |
Contributor: | Andrus, Tony | |
Bishop, Judith | ||
Dubinski, Eyal | ||
Fiscus, Jonathan G. | ||
Gillies, Breanna | ||
Harper, Mary | ||
Hazen, T. J. | ||
Hefright, Brook | ||
Jarrett, Amy | ||
Lin, Willa | ||
Ray, Jessica | ||
Rytting, Anton | ||
Shen, Wade | ||
Tzoukermann, Evelyne | ||
Wong, Jamie | ||
Date (W3CDTF): | 2016 | |
Date Issued (W3CDTF): | 2016-07-19 | |
Description: | *Introduction* IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 215 hours of Cantonese conversational and scripted telephone speech collected in 2011 along with corresponding transcripts. The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech. *Data* The Cantonese speech in this release represents that spoken in the Chinese provinces of Guangdong and Guangxi, and within those provinces, among five dialect groups. The gender distribution among speakers is approximately even; speakers' ages range from 16 years to 67 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle. All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: simplified Chinese characters and a romanization scheme based on the Yale system, both encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release. Evaluation data is available from NIST in support of OpenKWS. *Samples* Please view the following samples: * audio sample * transcription * romanized transcription *Updates* None at this time. | |
Extent: | Corpus size: 6484312 KB | |
Format: | Sampling Rate: 8000 | |
Sampling Format: a-law | ||
Identifier: | LDC2016S02 | |
https://catalog.ldc.upenn.edu/LDC2016S02 | ||
ISBN: 1-58563-746-7 | ||
ISLRN: 203-805-101-705-6 | ||
DOI: 10.35111/4m6a-1x29 | ||
Language: | Yue Chinese | |
Language (ISO639): | yue | |
License: | IARPA Babel Cantonese Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-cantonese-agreement-for-profit.pdf | |
IARPA Babel Cantonese Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-cantonese-agreement-non-member.pdf | ||
IARPA Babel Cantonese Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-cantonese-agreement-not-for-profit.pdf | ||
Medium: | Distribution: Web Download | |
Publisher: | Linguistic Data Consortium | |
Publisher (URI): | https://www.ldc.upenn.edu | |
Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2016S02 | |
Rights Holder: | Portions © 2015 U.S. Government The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government. | |
Type (DCMI): | Sound | |
Text | ||
Type (OLAC): | primary_text | |
OLAC Info |
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Archive: | The LDC Corpus Catalog | |
Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
GetRecord: | OAI-PMH request for OLAC format | |
GetRecord: | Pre-generated XML file | |
OAI Info |
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OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2016S02 | |
DateStamp: | 2022-12-06 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | Andrus, Tony; Bishop, Judith; Dubinski, Eyal; Fiscus, Jonathan G.; Gillies, Breanna; Harper, Mary; Hazen, T. J.; Hefright, Brook; Jarrett, Amy; Lin, Willa; Ray, Jessica; Rytting, Anton; Shen, Wade; Tzoukermann, Evelyne; Wong, Jamie. 2016. Linguistic Data Consortium. | |
Terms: | area_Asia country_CN dcmi_Sound dcmi_Text iso639_yue olac_primary_text |