oai:www.ldc.upenn.edu:LDC2020S07
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OLAC Record oai:www.ldc.upenn.edu:LDC2020S07 |
| Metadata | ||
| Title: | IARPA Babel Javanese Language Pack IARPA-babel402b-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 Javanese Language Pack IARPA-babel402b-v1.0b LDC2020S07. Web Download. Philadelphia: Linguistic Data Consortium, 2020 | |
| Contributor: | Bills, Aric | |
| Bishop, Judith | ||
| Conners, Thomas | ||
| David, Anne | ||
| Cruz, Luanne Dela | ||
| Dubinski, Eyal | ||
| Fiscus, Jonathan G. | ||
| Gann, Ketty | ||
| Harper, Mary | ||
| Kazi, Michael | ||
| Le, Hanh | ||
| Malyska, Nicolas | ||
| Melot, Jennifer | ||
| Ray, Jessica | ||
| Richardson, Fred | ||
| Rytting, Anton | ||
| Zwanenburg, Jacqui | ||
| Date (W3CDTF): | 2020 | |
| Date Issued (W3CDTF): | 2020-07-15 | |
| Description: | *Introduction* IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Javanese conversational and scripted telephone speech collected in 2014 and 2015 along with corresponding transcripts. The Babel program focused on underserved languages and sought to develop speech recognition technology that could be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech. *Data* The Javanese speech in this release represents the Central, Western, and Eastern Javanese dialect regions of Indonesia. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 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 Latin script; they cover approximately 77% of the speech data. 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 (SPH) and transcript sample (TXT). *Updates* None at this time. | |
| Extent: | Corpus size: 10660508 KB | |
| Format: | Sampling Rate: 8000 | |
| Sampling Format: alaw | ||
| Identifier: | LDC2020S07 | |
| https://catalog.ldc.upenn.edu/LDC2020S07 | ||
| ISBN: 1-58563-937-0 | ||
| ISLRN: 133-899-222-167-3 | ||
| DOI: 10.35111/6N78-9C72 | ||
| Language: | Javanese | |
| Language (ISO639): | jav | |
| License: | IARPA Babel Javanese Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-javanese-agreement-for-profit.pdf | |
| IARPA Babel Javanese Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-javanese-agreement-non-member.pdf | ||
| IARPA Babel Javanese Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-javanese-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/LDC2020S07 | |
| 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:LDC2020S07 | |
| DateStamp: | 2022-12-06 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Bills, Aric; Bishop, Judith; Conners, Thomas; David, Anne; Cruz, Luanne Dela; Dubinski, Eyal; Fiscus, Jonathan G.; Gann, Ketty; Harper, Mary; Kazi, Michael; Le, Hanh; Malyska, Nicolas; Melot, Jennifer; Ray, Jessica; Richardson, Fred; Rytting, Anton; Zwanenburg, Jacqui. 2020. Linguistic Data Consortium. | |
| Terms: | area_Asia country_ID dcmi_Sound dcmi_Text iso639_jav olac_primary_text | |