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

Award Information
Agency:
Department of Defense
Amount:
$99,999.00
Program:
SBIR
Contract:
W15P7T-12-C-A018
Solitcitation Year:
2012
Solicitation Number:
2012.1
Branch:
Army
Award Year:
2012
Phase:
Phase I
Agency Tracking Number:
A121-031-0923
Solicitation Topic Code:
A12-031
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000, Wo, MA, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
Y
Duns:
859244204
Principal Investigator
 Ranga Narayanaswami
 Sr Grp Lead: Signal Exploitation
 (781) 933-5355
 rangan@ssci.com
Business Contact
 Jay Miselis
Title: Corporate Controller
Phone: (781) 933-5355
Email: contracts@ssci.com
Research Institution
 Stub
Abstract
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.

* information listed above is at the time of submission.

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