OLAC Record oai:www.ldc.upenn.edu:LDC2017S01

Metadata
Title:		IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7
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 Vietnamese Language Pack IARPA-babel107b-v0.7 LDC2017S01. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:		Andrus, Tony
		Bills, Aric
		Bishop, Judith
		Corris, Miriam
		Dubinski, Eyal
		Fiscus, Jonathan G.
		Gillies, Breanna
		Harper, Mary
		Hazen, T. J.
		Hefright, Brook
		Jarrett, Amy
		Le, Hanh
		Ray, Jessica
		Rytting, Anton
		Silber, Ronnie
		Shen, Wade
		Tzoukermann, Evelyne
Date (W3CDTF):		2017
Date Issued (W3CDTF):		2017-01-19
Description:		*Introduction* IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7 was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 201 hours of Vietnamese conversational and scripted telephone speech collected in 2012 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 Vietnamese speech in this release represents that spoken in the North, North-Central, Central and Southern dialect regions in Vietnam. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 64 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. Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are 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 this audio sample and transcript sample. *Updates* None at this time.
Extent:		Corpus size: 5843728 KB
Format:		Sampling Rate: 8000
		Sampling Format: a-law
Identifier:		LDC2017S01
		https://catalog.ldc.upenn.edu/LDC2017S01
		ISBN: 1-58563-784-X
		ISLRN: 401-277-958-467-7
		DOI: 10.35111/yrqp-r555
Language:		Vietnamese
Language (ISO639):		vie
License:		IARPA Babel Vietnamese Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-vietnamese-agreement-for-profit.pdf
		IARPA Babel Vietnamese Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-vietnamese-agreement-non-member.pdf
		IARPA Babel Vietnamese Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-vietnamese-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/LDC2017S01
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
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
OaiIdentifier:		oai:www.ldc.upenn.edu:LDC2017S01
DateStamp:		2022-12-06
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Andrus, Tony; Bills, Aric; Bishop, Judith; Corris, Miriam; Dubinski, Eyal; Fiscus, Jonathan G.; Gillies, Breanna; Harper, Mary; Hazen, T. J.; Hefright, Brook; Jarrett, Amy; Le, Hanh; Ray, Jessica; Rytting, Anton; Silber, Ronnie; Shen, Wade; Tzoukermann, Evelyne. 2017. Linguistic Data Consortium.
Terms:		area_Asia country_VN dcmi_Sound dcmi_Text iso639_vie olac_primary_text