OLAC Record oai:www.ldc.upenn.edu:LDC2018S03 |
Metadata | ||
Title: | Multi-Language Conversational Telephone Speech 2011 -- Central 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 -- Central Asian LDC2018S03. Web Download. Philadelphia: Linguistic Data Consortium, 2018 | |
Contributor: | Jones, Karen | |
Graff, David | ||
Walker, Kevin | ||
Strassel, Stephanie | ||
Date (W3CDTF): | 2018 | |
Date Issued (W3CDTF): | 2018-02-16 | |
Description: | *Introduction* Multi-Language Conversational Telephone Speech 2011 -- Central Asian was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 37 hours of telephone speech in three distinct language varieties of Central Asia: Dari, Farsi and Pashto. 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 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 c_asian fas 100 19.7 900 c_asian prs 17 3.2 175 c_asian pus 79 14.5 709 c_asian Totals 196 37.4 1784 *Samples* Please listen to this sample. *Updates* None at this time. | |
Extent: | Corpus size: 1828744 KB | |
Format: | Sampling Rate: 8000 | |
Sampling Format: pcm | ||
Identifier: | LDC2018S03 | |
https://catalog.ldc.upenn.edu/LDC2018S03 | ||
ISBN: 1-58563-833-1 | ||
ISLRN: 663-913-048-272-3 | ||
DOI: 10.35111/41kx-t435 | ||
Language: | Dari | |
Persian | ||
Pushto | ||
Language (ISO639): | prs | |
fas | ||
pus | ||
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/LDC2018S03 | |
Rights Holder: | Portions © 2018 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:LDC2018S03 | |
DateStamp: | 2020-11-30 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | Jones, Karen; Graff, David; Walker, Kevin; Strassel, Stephanie. 2018. Linguistic Data Consortium. | |
Terms: | area_Asia country_AF dcmi_Sound iso639_fas iso639_prs iso639_pus olac_primary_text |