IARPA Babel Bengali Language Pack IARPA-babel103b-v0.4b
|Item Name:||IARPA Babel Bengali Language Pack IARPA-babel103b-v0.4b|
|Author(s):||Aric Bills, Anne David, Eyal Dubinski, Jonathan G. Fiscus, Breanna Gillies, Mary Harper, Amy Jarrett, María Encarnación Pérez Molina, Jessica Ray, Anton Rytting, Shelley Paget, Wade Shen, Ronnie Silber, Evelyne Tzoukermann, Jamie Wong|
|LDC Catalog No.:||LDC2016S08|
|Release Date:||August 15, 2016|
|DCMI Type(s):||Sound, Text|
|Data Source(s):||telephone conversations|
IARPA Babel Bengali Agreement (For-Profit)
IARPA Babel Bengali Agreement (Non-Member)
IARPA Babel Bengali Agreement (Not-For-Profit)
|Online Documentation:||LDC2016S08 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Bills, Aric, et al. IARPA Babel Bengali Language Pack IARPA-babel103b-v0.4b LDC2016S08. Web Download. Philadelphia: Linguistic Data Consortium, 2016.|
IARPA Babel Bengali Language Pack IARPA-babel103b-v0.4b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 215 hours of Bengali conversational and scripted telephone speech collected in 2011 and 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.
The Bengali speech in this release represents that spoken in India by native speakers of Bengali born in India. The gender distribution among speakers is approximately even; 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.
All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: the Bengali script and a romanization scheme developed by Appen Butler Hill, both encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release.
Please view the following samples:
None at this time.