【摘要】 本文介绍了连续语音识别中噪音鲁棒性方法的现状,分析传统动态范围调整方法在连续语音识别中导致的特征曲线中的峰值不匹配问题,提出了新的特征曲线调整算法,并为算法的参数设定增加了限制条件。本文详细地论述了算法的步骤以及算法中参数的确定。通过理论分析和实验验证,证明了提出的算法在连续语音特征调整中具有很好的性能,提高了识别精度。更多还原

【Abstract】 The noise robust methods in continuous speech recognition is introduced,the peaks mismatching problem which exist in continuous speech feature adjustment by using conventional dynamic range adjustment is analyzed. The new feature adjustment algorithm is proposed and some restricted conditions to get parameters are added. The step and the parameter setting of the algorithm paper are discussed in details. By theoretical analysis and experimental verification,the performance of the algorithm in continuous speech feature adjustment is proved. The recognition accuracy is improved.更多还原