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哈尔滨工业大学计算机学院
纸质出版日期:2009
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高荣春, 韩纪庆, 张磊. 说话人识别中基于最大后验概率的通道补偿方法[J]. 通信学报, 2009,30(3):99-103.
GAO Rong-chun, HAN Ji-qing, ZHANG Lei. Channel compensation of speaker identification based on maximum a posteriori[J]. 2009, 30(3): 99-103.
高荣春, 韩纪庆, 张磊. 说话人识别中基于最大后验概率的通道补偿方法[J]. 通信学报, 2009,30(3):99-103. DOI:
GAO Rong-chun, HAN Ji-qing, ZHANG Lei. Channel compensation of speaker identification based on maximum a posteriori[J]. 2009, 30(3): 99-103. DOI:
为了解决通道变化对说话人识别系统性能的影响
将最大后验概率方法应用到具体的通道补偿中。首先设置标准通道
然后利用其他通道和标准通道偏差的分布作为先验知识
通过少量自适应数据获得当前通道的偏差对特征进行调整
达到补偿的目的。实验结果表明
在1s自适应数据时
该方法的识别率达到89.1%
和倒谱平均减方法相比识别率提高4.2%
随着自适应数据的增加
采用该方法的系统性能可进一步提高。
To solve the effect of channel changes on the performance of speaker identification system
apply the method of maximum a posteriori to specific channel compensation.First
setup a standard channel
then
use the distribution of deviation of other channel and standard channel as experience knowledge
and obtain the deviation of current channel by a few adaptive data
use these deviations to adjust the characteristic to gain the goal of compensation.The results show that adaptive data in 1s
it has a discrimination of 89.1%
above the method of cepstrum average reduction by 4.2%
with the increasing of self-adaptive
the performance of this system can be improved.
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