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External/Internal Data Fusion Testbed: History, Components and ExperimentalAnalysis

机译:外部/内部数据融合测试平台:历史,组件和实验分析

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Rome Laboratory (RL) has been performing Speech Processing Research andDevelopment since the early sixties. Areas of research include Speech Recognition, Speaker Identification, Language Identification, Keyword Recognition, Platform Identification, and External/Internal (E/I) Data Fusion. This thesis describes in detail an experiment to optimize the weighting of external, internal and ELINT information using the RL E/I Data Fusion Testhed. Internals are RL audio processing functions, such as: Speaker and Language Identification. Externals are other information that can be obtained from the audio signal such as: Transmission Frequency, Direction, and Modulation type. ELINT is the process of observing radar signals to obtain information about their capabilities. This thesis also describes a series of experiments which can he performed on this Testbed. A preliminary experiment was designed and performed to determine the best set of externals for the Testbed.

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