OLAC Record
oai:www.ldc.upenn.edu:LDC2017S14

Metadata
Title:Multi-Language Conversational Telephone Speech 2011 -- South Asian
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 -- South Asian LDC2017S14. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Jones, Karen
Graff, David
Walker, Kevin
Strassel, Stephanie
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-08-15
Description:*Introduction* Multi-Language Conversational Telephone Speech 2011 -- South Asian was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 118 hours of telephone speech in five distinct language varieties of South Asia (i.e. the Indian sub-continent): Bengali, Hindi, Punjabi, Tamil and Urdu. 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) * Central Asian (LDC2018S03) * Central European (LDC2018S08) * Spanish (LDC2018S12) * Arabic (LDC2019S02) * 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 s_asian ben 118 26.6 1374 s_asian hin 37 7.4 383 s_asian pnb 207 38.8 1921 s_asian tam 101 22.9 1140 s_asian urd 116 22.9 1140 s_asian Totals 579 118.3 5913 *Samples* Please listen to this sample. *Updates* None at this time.
Extent:Corpus size: 6060528 KB
Format:Sampling Rate: 8000
Sampling Format: pcm
Identifier:LDC2017S14
https://catalog.ldc.upenn.edu/LDC2017S14
ISBN: 1-58563-808-0
ISLRN: 809-338-263-232-7
DOI: 10.35111/wbvn-4359
Language:Bengali
Hindi
Western Panjabi
Tamil
Urdu
Language (ISO639):ben
hin
pnb
tam
urd
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/LDC2017S14
Rights Holder:Portions © 2017 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:LDC2017S14
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Jones, Karen; Graff, David; Walker, Kevin; Strassel, Stephanie. 2017. Linguistic Data Consortium.
Terms: area_Asia country_BD country_IN country_PK dcmi_Sound iso639_ben iso639_hin iso639_pnb iso639_tam iso639_urd olac_primary_text


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Up-to-date as of: Fri Dec 6 7:48:39 EST 2024