oai:www.ldc.upenn.edu:LDC2026S03
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OLAC Record oai:www.ldc.upenn.edu:LDC2026S03 |
| Metadata | ||
| Title: | 2022 NIST Language Recognition Evaluation Test and Development Sets | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Greenberg, Craig, et al. 2022 NIST Language Recognition Evaluation Test and Development Sets LDC2026S03. Web Download. Philadelphia: Linguistic Data Consortium, 2026 | |
| Contributor: | Greenberg, Craig | |
| Walker, Kevin | ||
| Jones, Karen | ||
| Wright, Jonathan | ||
| Strassel, Stephanie | ||
| Date (W3CDTF): | 2026 | |
| Date Issued (W3CDTF): | 2026-02-16 | |
| Description: | *Introduction* 2022 NIST Language Recognition Evaluation Test and Development Sets was developed by the Linguistic Data Consortium (LDC) and the National Institute of Standards and Technology (NIST). This release contains the test and development data, metadata, answer keys, and documentation for the 2022 NIST Language Recognition Evaluation (LRE22). The source speech data is comprised of approximately 222 hours of conversational telephone speech (CTS) and broadcast narrowband speech (BNBS) in 14 languages: Afrikaans, Tunisian Arabic, Algerian Arabic, Libyan Arabic, South African English, Indian-accented South African English, North African French, Ndebele, Oromo, Tigrinya, Tsonga, Venda, Xhosa and Zulu. The goals of NIST's Language Recognition Evaluation are to advance language recognition technologies, to facilitate technology development, and to measure the performance of current state-of-the-art technology. LRE22 emphasized language recognition for African languages, including low resource languages, and expanded the range of test segment durations. Further information about the 2022 evaluation can be found in the 2022 NIST Language Recognition Evaluation Plan. *Data* The test and development segments in this release were drawn from three datasets developed by LDC: the Speech Archive of South African Languages (SASAL) (CTS, BNBS), the Maghrebi Linguistic Information Corpus (MAGLIC) (CTS), and the Low Resource African Languages (LRAL) collection (BNBS). For the SASAL CTS collection, a small number of native speakers known as "claques" were recruited for each language to make single calls to multiple individuals in their social network. Calls lasted 8-15 minutes and speakers were free to discuss any topic. The BNBS data was collected from streaming radio programming, focusing on programs that included narrowband speech (e.g., call-ins to a talk show). Portions of the CTS callee call sides and portions of each broadcast recording were manually audited by native speakers to verify language and quality. MAGLIC consists of conversational telephone speech recordings in three varieties of Maghrebi Arabic (Tunisian, Libyan, and Algerian) and North African French, collected in accordance with the SASAL CTS protocol. LRAL contains Oromo and Tigrinya narrowband speech from off-the-air from broadcasts in Ethiopia and Eritrea, following the parameters used in the SASAL BNBS collection. Test and development segments from SASAL and MAGLIC CTS callee call sides (and comparatively few claque sides) and from SASAL and LRAL BNBS data were extracted by NIST. All test and development segments are presented as single channel, 8-bit a-law SPHERE files sampled at 8 kHz. Metadata for the development partition is provided as a tab-separated file listing the file name, language code, LDC audio identifier, source time offset, and duration for each audio segment. *Samples* * Libyan Arabic SPHERE Audio File *Updates* No updates at this time. | |
| Extent: | Corpus size: 5662310 KB | |
| Format: | Sampling Rate: 8000 | |
| Sampling Format: 8-bit a-law | ||
| Identifier: | LDC2026S03 | |
| https://catalog.ldc.upenn.edu/LDC2026S03 | ||
| ISLRN: 266-982-188-107-3 | ||
| DOI: 10.35111/jzws-6m63 | ||
| Language: | Tunisian Arabic | |
| Algerian Arabic | ||
| Libyan Arabic | ||
| South Ndebele | ||
| Oromo | ||
| Tigrinya | ||
| Tsonga | ||
| Venda | ||
| Xhosa | ||
| Zulu | ||
| Afrikaans | ||
| Algerian Saharan Arabic | ||
| English | ||
| French | ||
| Language (ISO639): | aeb | |
| arq | ||
| ayl | ||
| nbl | ||
| orm | ||
| tir | ||
| tso | ||
| ven | ||
| xho | ||
| zul | ||
| afr | ||
| aao | ||
| eng | ||
| fra | ||
| 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/LDC2026S03 | |
| Rights Holder: | Portions © 2018-2019 EBC, © 2019 EdenFM, © 2019 Hindvani, © 2019 SABC, © 2018, 2019, 2022, 2025, 2026 Trustees of the University of Pennsylvania | |
| 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:LDC2026S03 | |
| DateStamp: | 2026-02-16 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Greenberg, Craig; Walker, Kevin; Jones, Karen; Wright, Jonathan; Strassel, Stephanie. 2026. Linguistic Data Consortium. | |
| Terms: | area_Africa area_Europe country_DZ country_ET country_FR country_GB country_LY country_TN country_ZA dcmi_Sound dcmi_Text iso639_aao iso639_aeb iso639_afr iso639_arq iso639_ayl iso639_eng iso639_fra iso639_nbl iso639_orm iso639_tir iso639_tso iso639_ven iso639_xho iso639_zul olac_primary_text | |