Enhanced Algoriths for Cockpit Voice Recognition Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 28201
Amount: $740,811.00
Phase: Phase II
Program: SBIR
Awards Year: 1996
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
180 N Vinendo Ave., Pasadena, CA, 91107
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ron Benson Phd
 (818) 792-3000
Business Contact
Phone: () -
Research Institution
In order to become a feasible human-interface technology suitable for operational deployment in high-noise environments, real-time speech recognition requires robust algorithms. Robust speech processing would function as an intuitive interface to relieve crew work load and enhance crew safety, particularly in hands-busy and high-noise environments, such as cockpits. We are currently developing an analog complementary metal-oxide-silicon (CMOS) silicon cochlea under an AF Phase II SBIR contract (AF41624-94-C-6004) specifically for noise reduction in cockpit speech-recognition applications. During Phase I, we propose to merge traditional techniques with biologically inspired neural techniques. The traditional technique uses a mel-cepstral coefficient (MCC) technique, with a vector quantizer (VQ) and a phoneme-based hidden Markov model (HMM). The biologically inspired technique uses a noise-insensitive cochlear model, with a trainable, time-invariant learning vector quantizer (LVQ). In the third algorithm, the traditional MCC front end passes its output to the LVQ classifier; for the fourth algorithm the cochlear model use the VQ codebook. All four algorithms send their outputs to word-based HMMs. In this way, we exploit the strengths of the front ends, as well as the strengths of the classifiers. Word-based predictions from all four classifiers are fed to a neural classifier that selects the appropriate word spoken.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government