IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b
| Item Name: | IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b |
| Author(s): | Aric Bills, Judith Bishop, Thomas Conners, Miriam Corris, Anne David, Eyal Dubinski, Jonathan G. Fiscus, Ketty Gann, Mary Harper, Michael Kazi, Nicolas Malyska, Jennifer Melot, Jessica Ray, Anton Rytting, Bushra Zawaydeh |
| LDC Catalog No.: | LDC2020S02 |
| ISBN: | 1-58563-919-2 |
| ISLRN: | 614-399-924-694-6 |
| DOI: | https://doi.org/10.35111/nexc-5y91 |
| Release Date: | February 17, 2020 |
| Member Year(s): | 2020 |
| DCMI Type(s): | Sound, Text |
| Sample Type: | alaw |
| Sample Rate: | 8000 |
| Data Source(s): | telephone conversations |
| Application(s): | speech recognition |
| Language(s): | Luo (Kenya and Tanzania) |
| Language ID(s): | luo |
| License(s): |
IARPA Babel Dholuo Agreement (For-Profit) IARPA Babel Dholuo Agreement (Non-Member) IARPA Babel Dholuo Agreement (Not-For-Profit) |
| Online Documentation: | LDC2020S02 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Bills, Aric, et al. IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b LDC2020S02. Web Download. Philadelphia: Linguistic Data Consortium, 2020. |
| Related Works: | View |
Introduction
IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Dholuo 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 Dholuo speech in this release represents the South Nyanza and Trans-Yala dialect regions of Kenya. 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. Transcripts are included for approximately 80% 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 this audio sample and transcript sample.
Updates
None at this time.