This effort will integrate an advanced technology speech recognition system (SRS) with a computer-assisted contingency planning training model. The SRS makes use of algorithms developed in the Speech Technology and Research Labratory of SRI International. Its state-of-the-art approach provides significant improvements in accuracy and robustness over other approaches. It provides for speaker independent speech recognition that is robust against variations in microphones, line noises, and other spontaneous phenomena. It provides for near real-time recognition with continuous speech input. The training model to be used simulates low through high intensity conventional conflict, including the capability for Military Operations in Urban Terrain (MOUT), Special Operations, Counter-Drug Operations, and Operations Other Than War (OOTW). It models battalion through division level including maneuver, fire support, intelligence/electronic warfare, air defense, engineer, combat service, support, medical, maintenance, ordnance, psychological operations, and civil afairs.
Keywords: Speech Recognition Voice Control Contingency Planning Simulation
