计算机科学 ›› 2021, Vol. 48 ›› Issue (12): 343-348.doi: 10.11896/jsjkx.210100038
王学光1, 诸珺文1, 张爱新2
WANG Xue-guang1, ZHU Jun-wen1, ZHANG Ai-xin2
摘要: 声纹作为当代司法鉴定技术发展的产物,在现代声像资料鉴定中发挥了至关重要的作用。传统的声纹分析方法是基于声音处理工具进行手工分析的,考虑到其具有严格的文本相关性以及比对的臆断性的缺点,其作为证据鉴定意见的证明力有待加强。文中提出了一种基于Mel频率倒谱系数的同一性鉴定方法,即提取并量化包含原始声音的共振峰及其时间轴信息的包络作为声纹特征进行同一性比对。此方法改进了传统Mel频率倒谱系数的不足,提取共振峰的突变并将元音与响辅音的转变特性加入声纹特征,以提高其识别度。实验证明,此方法在检材与样本无关的情况下,同一性鉴定的准确率达到了85%,方差控制在9%左右,具有良好的同一性识别;而在非同一性鉴定中,该方法也能在结合人工分析的情况下给出较准确的结果。
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[1] | 王学光, 诸珺文, 张爱新. 基于ARIMA预测MFCC特征的声纹同一性鉴定方法 Identification Method of Voiceprint Identity Based on ARIMA Prediction of MFCC Features 计算机科学, 2022, 49(5): 92-97. https://doi.org/10.11896/jsjkx.210400071 |
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