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A Preprocessor for Speech Recognition Systems Operating in Noisy Environments

机译:在嘈杂环境中运行的语音识别系统的预处理器

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Objectives:rnThe recognition of speech in noisy environments is critical to certain DoD systems now under development. Current preprocessors for speech recognition systems, such as those based on "linear predictive coding," are linear and therefore not effective in noisy environments. The objective of this project is to develop a nonlinear preprocessor for speech recognition systems that significantly improves the signal to noise ratio of the speech signal to be recognized. The nonlinear transmission line will be realized in software, although realization in hardware in FY91 should be possible. More specifically we will:rn1) Develop a nonlinear transmission line preprocessor that accurately simulates the mechanics of the inner ear at all sound pressure levels.rn2) Preprocess speech with the nonlinear transmission line and show that there is a substantial improvement in the signal to noise ratio.
机译:目标:在嘈杂的环境中识别语音对目前正在开发的某些DoD系统至关重要。当前用于语音识别系统的预处理器(例如基于“线性预测编码”的预处理器)是线性的,因此在嘈杂的环境中无效。该项目的目的是开发一种用于语音识别系统的非线性预处理器,该预处理器可以显着提高要识别的语音信号的信噪比。非线性传输线将通过软件实现,尽管在FY91可能以硬件实现。更具体地说,我们将:rn1)开发一种非线性传输线预处理器,可以在所有声压水平下准确地模拟内耳的力学.rn2)用该非线性传输线对语音进行预处理,并表明信噪比有了实质性的改善比。

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