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。
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 verifica-tion, the performance of the algorithm in continuous speech feature adjustment is proved. The recognition accuracy is improved.
出处
《长春理工大学学报（自然科学版）》
2014年第1期146-149,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
连续语音识别
语音特征
动态范围调整
算法
continuous speech recognition
speech feature
dynamic range adjustment
algorithm
作者简介
刘蒇（1980-），女，硕士，讲师，E—mail：liuwei@cust．edu．cn
