oai:www.ldc.upenn.edu:LDC2019S08
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OLAC Record oai:www.ldc.upenn.edu:LDC2019S08 |
| Metadata | ||
| Title: | IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Andresen, Lucy, et al. IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c LDC2019S08. Web Download. Philadelphia: Linguistic Data Consortium, 2019 | |
| Contributor: | Andresen, Lucy | |
| Bills, Aric | ||
| Bishop, Judith | ||
| Brugman, Claudia | ||
| Conners, Thomas | ||
| David, Anne | ||
| Dubinski, Eyal | ||
| Fiscus, Jonathan G. | ||
| Gann, Ketty | ||
| Harper, Mary | ||
| Kazi, Michael | ||
| Le, Hanh | ||
| Malyska, Nicolas | ||
| Maurillo, Arlene | ||
| Melot, Jennifer | ||
| Paget, Shelley | ||
| Prebble, Jane Elizabeth | ||
| Ray, Jessica | ||
| Richardson, Fred | ||
| Rytting, Anton | ||
| Shen, Sinney | ||
| Date (W3CDTF): | 2019 | |
| Date Issued (W3CDTF): | 2019-05-15 | |
| Description: | *Introduction* IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 198 hours of Guarani conversational and scripted telephone speech collected in 2014 and 2015 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 Guarani speech in this release represents that spoken in Paraguay. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 67 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. 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 this audio sample and transcript sample. *Updates* None at this time. | |
| Extent: | Corpus size: 11918552 KB | |
| Format: | Sampling Rate: 8000 | |
| Sampling Format: alaw | ||
| Identifier: | LDC2019S08 | |
| https://catalog.ldc.upenn.edu/LDC2019S08 | ||
| ISBN: 1-58563-885-4 | ||
| ISLRN: 474-524-874-504-3 | ||
| DOI: 10.35111/qdg9-7a64 | ||
| Language: | Paraguayan Guaraní | |
| Language (ISO639): | gug | |
| License: | IARPA Babel Guarani Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-guarani-agreement-for-profit.pdf | |
| IARPA Babel Guarani Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-guarani-agreement-non-member.pdf | ||
| IARPA Babel Guarani Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-guarani-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/LDC2019S08 | |
| 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:LDC2019S08 | |
| DateStamp: | 2022-12-06 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Andresen, Lucy; Bills, Aric; Bishop, Judith; Brugman, Claudia; Conners, Thomas; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Gann, Ketty; Harper, Mary; Kazi, Michael; Le, Hanh; Malyska, Nicolas; Maurillo, Arlene; Melot, Jennifer; Paget, Shelley; Prebble, Jane Elizabeth; Ray, Jessica; Richardson, Fred; Rytting, Anton; Shen, Sinney. 2019. Linguistic Data Consortium. | |
| Terms: | area_Americas country_PY dcmi_Sound dcmi_Text iso639_gug olac_primary_text | |