oai:www.ldc.upenn.edu:LDC2019S22
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OLAC Record oai:www.ldc.upenn.edu:LDC2019S22 |
| Metadata | ||
| Title: | IARPA Babel Amharic Language Pack IARPA-babel307b-v1.0b | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Bills, Aric, et al. IARPA Babel Amharic Language Pack IARPA-babel307b-v1.0b LDC2019S22. Web Download. Philadelphia: Linguistic Data Consortium, 2019 | |
| Contributor: | Bills, Aric | |
| Bishop, Judith | ||
| Conners, Thomas | ||
| David, Anne | ||
| Dubinski, Eyal | ||
| Fiscus, Jonathan G. | ||
| Gann, Ketty | ||
| Harper, Mary | ||
| Kazi, Michael | ||
| Le, Hanh | ||
| Malyska, Nicolas | ||
| Melot, Jennifer | ||
| Phillips, Josh | ||
| Ray, Jessica | ||
| Roomi, Bergul | ||
| Rytting, Anton | ||
| Strahan, Tania E. | ||
| Date (W3CDTF): | 2019 | |
| Date Issued (W3CDTF): | 2019-11-15 | |
| Description: | *Introduction* IARPA Babel Amharic Language Pack IARPA-babel307b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Amharic conversational and scripted telephone speech collected in 2014 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 Amharic speech in this release represents the Addis Ababa, Shewa, and Gondar dialect regions of Ethiopia. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 60 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 and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8 in fidel (Ge’ez/Ethiopic) script and in a romanization scheme developed by Appen. Transcripts are included for approximately 75% of the speech. 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 the following samples: * Speech * Romanized Transcript * Transcript *Updates* None at this time. | |
| Extent: | Corpus size: 10671703 KB | |
| Format: | Sampling Rate: 8000 | |
| Sampling Format: alaw | ||
| Identifier: | LDC2019S22 | |
| https://catalog.ldc.upenn.edu/LDC2019S22 | ||
| ISBN: 1-58563-906-0 | ||
| ISLRN: 102-641-476-636-9 | ||
| DOI: 10.35111/ehfb-ka57 | ||
| Language: | Amharic | |
| Language (ISO639): | amh | |
| License: | IARPA Babel Amharic Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-amharic-agreement-for-profit.pdf | |
| IARPA Babel Amharic Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-amharic-agreement-non-member.pdf | ||
| IARPA Babel Amharic Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-amharic-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/LDC2019S22 | |
| 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 |
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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:LDC2019S22 | |
| DateStamp: | 2022-12-06 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Bills, Aric; Bishop, Judith; Conners, Thomas; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Gann, Ketty; Harper, Mary; Kazi, Michael; Le, Hanh; Malyska, Nicolas; Melot, Jennifer; Phillips, Josh; Ray, Jessica; Roomi, Bergul; Rytting, Anton; Strahan, Tania E. 2019. Linguistic Data Consortium. | |
| Terms: | area_Africa country_ET dcmi_Sound dcmi_Text iso639_amh olac_primary_text | |