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METHOD AND APPARATUS FOR COMPENSATING ENERGY FEATURES FOR ROBUST SPEECH RECOGNITION IN NOISE ENVIRONMENT

机译:噪声环境下补偿鲁棒语音识别能量特征的方法和装置

摘要

Energy Features compensation method and apparatus for robust speech recognition in noisy environments. Characterized in that the energy compensation method comprises: (a) for converting the energy characteristic of the speech training data collected from a noise-free environment as clean environment similar to the energy of the phase noise environment; (B) the minimum value of the speech data by recognizing the energy check is greater than the predetermined minimum value of the target, the energy minimum of the audio data is less than the target minimum, but less than the intermediate value of the energy of the minimum and maximum values of conversion by the conversion equation ERN performing a Half-ERN; And (c) the energy minimum of the speech recognition data, characterized in that it comprises the step of compensating for the energy characteristics not less than the target minimum value by a predetermined method. ; The present invention is more robust than the energy characteristic compensation is possible in a variety of environments it is possible to improve the speech recognition rate in noisy environments.
机译:用于在嘈杂环境中进行健壮语音识别的能量特征补偿方法和装置。其特征在于,该能量补偿方法包括:(a)将从无噪声环境中收集的语音训练数据的能量特性转换为类似于相位噪声环境的能量的清洁环境; (B)通过识别出能量检测的语音数据的最小值大于预定的目标最小值,音频数据的能量最小值小于目标最小值,但小于能量的中间值通过转换方程ERN进行Half-ERN的转换的最小和最大值;并且(c)语音识别数据的能量最小值,其特征在于,其包括通过预定方法补偿不小于目标最小值的能量特性的步骤。 ;本发明比在各种环境中可能进行的能量特征补偿更鲁棒,在噪声环境中可以改善语音识别率。

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