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SLICE: Spoken Language Identification from Commonly-occuring Words&Context…

Award Information

Department of Defense
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2012
Title: SLICE: Spoken Language Identification from Commonly-occuring Words&Context Evaluation
Agency: DOD
Contract: W15P7T-12-C-A018
Award Amount: $99,999.00


United States Army personnel, as part of their overseas operations, must regularly interact with the local populations and interpret local audio feeds (such as radio transmission, news reports, etc.). While human translators are sometimes available for this purpose, their numbers are limited and their use often requires exposure to risk. Furthermore, many scenarios require urgent translation of speech, thereby necessitating automated, efficient translation. The first step in such an automated system, determining which foreign language translation engine is to be used, remains an important unresolved issue. SSCI's proposed approach to an Automatic Spoken Language Recognition (ASLR) will be based on a probabalistic approach to matching an incoming speech transmission to a database of frequently occurring words in a language. In addition, SSCI will also make use of additional contextual information, such as location, previous (recent) identifications and user feedback to ensure a robust language identification algorithm.

Principal Investigator:

Ranga Narayanaswami
Sr Grp Lead: Signal Exploitation
(781) 933-5355

Business Contact:

Jay Miselis
Corporate Controller
(781) 933-5355
Small Business Information at Submission:

Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Wo, MA -

EIN/Tax ID: 043053085
Number of Employees:
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No