IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5
| Item Name: | IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5 |
| Author(s): | Jess Andresen, Aric Bills, Judith Bishop, Eyal Dubinski, Jonathan G. Fiscus, Breanna Gillies, Mary Harper, T. J. Hazen, Amy Jarrett, Bergul Roomi, Jessica Ray, Anton Rytting, Wade Shen, Evelyne Tzoukermann |
| LDC Catalog No.: | LDC2016S10 |
| ISBN: | 1-58563-772-6 |
| ISLRN: | 039-483-741-269-9 |
| DOI: | https://doi.org/10.35111/mb8z-6p26 |
| Release Date: | October 19, 2016 |
| Member Year(s): | 2016 |
| DCMI Type(s): | Sound, Text |
| Sample Type: | a-law |
| Sample Rate: | 8000 |
| Data Source(s): | telephone conversations |
| Application(s): | speech recognition |
| Language(s): | Turkish |
| Language ID(s): | tur |
| License(s): |
IARPA Babel Turkish Agreement (For-Profit) IARPA Babel Turkish Agreement (Non-Member) IARPA Babel Turkish Agreement (Not-For-Profit) |
| Online Documentation: | LDC2016S10 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Andresen, Jess, et al. IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5 LDC2016S10. Web Download. Philadelphia: Linguistic Data Consortium, 2016. |
| Related Works: | View |
Introduction
IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5 was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 213 hours of Turkish conversational and scripted telephone speech collected in 2012 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 Turkish speech in this release represents that spoken in seven dialect regions in Turkey. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 70 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.
All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere 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.
Updates
None at this time.
Samples
Please view this audio sample and transcript sample.