OLAC Record oai:www.ldc.upenn.edu:LDC2019S02

Metadata
Title:		Multi-Language Conversational Telephone Speech 2011 -- Arabic Group
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Jones, Karen, et al. Multi-Language Conversational Telephone Speech 2011 -- Arabic Group LDC2019S02. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:		Jones, Karen
		Graff, David
		Walker, Kevin
		Strassel, Stephanie
Date (W3CDTF):		2019
Date Issued (W3CDTF):		2019-02-15
Description:		*Introduction* Multi-Language Conversational Telephone Speech 2011 -- Arabic Group was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 117 hours of telephone speech in distinct dialects of colloquial Arabic: Iraqi, Levantine and Maghrebi. The data were collected primarily to support research and technology evaluation in automatic language identification, and portions of these telephone calls were used in the NIST 2011 Language Recognition Evaluation (LRE). LRE 2011 focused on language pair discrimination for 24 languages/dialects, some of which could be considered mutually intelligible or closely related. LDC has also released the following as part of the Multi-Language Conversational Telephone Speech 2011 series: * Slavic Group (LDC2016S11) * Turkish (LDC2017S09) * South Asian (LDC2017S14) * Central Asian (LDC2018S03) * Central European (LDC2018S08) * Spanish (LDC2018S12) * English (LDC2019S06) *Data* Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 15 minutes, to each acquaintance. The data was collected using LDC's telephone collection infrastructure, comprised of three computer telephony systems. Human auditors labeled calls for callee gender, dialect type and noise. Demographic information about the participants was not collected. All audio data are presented in FLAC-compressed MS-WAV (RIFF) file format (*.flac); when uncompressed, each file is 2 channels, recorded at 8000 samples/second with samples stored as 16-bit signed integers, representing a lossless conversion from the original mu-law sample data as captured digitally from the public telephone network. The following table summarizes the total number of calls, total number of hours of recorded audio, and the total size of compressed data: group lng #calls #hours #MB arabic iraqi 210 37.4 1908 arabic levantine 225 41.1 2041 arabic maghrebi 207 38.6 2024 arabic totals 642 117.1 5973 *Samples* Please view this audio sample. *Updates* None at this time.
Extent:		Corpus size: 6124144 KB
Format:		Sampling Rate: 8000
		Sampling Format: pcm
Identifier:		LDC2019S02
		https://catalog.ldc.upenn.edu/LDC2019S02
		ISBN: 1-58563-875-7
		ISLRN: 484-511-976-304-8
		DOI: 10.35111/w8hd-px33
Language:		Mesopotamian Arabic
		Arabic
		Levantine Arabic
Language (ISO639):		acm
		ara
License:		LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:		Distribution: Web Download
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2019S02
Rights Holder:		Portions © 2019 Trustees of the University of Pennsylvania
Type (DCMI):		Sound
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:LDC2019S02
DateStamp:		2020-11-30
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Jones, Karen; Graff, David; Walker, Kevin; Strassel, Stephanie. 2019. Linguistic Data Consortium.
Terms:		area_Asia country_IQ dcmi_Sound iso639_acm iso639_ara olac_primary_text