| 复杂噪声中基于MFCC距离的语音端点检测算法 |
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| 引用本文： | 韩云霄,邵清,符玉襄,郭庆.复杂噪声中基于MFCC距离的语音端点检测算法[J].计算机工程,2020,46(3):309-314. |
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| 作者姓名： | 韩云霄 邵清 符玉襄 郭庆 |
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| 作者单位： | 上海理工大学光电信息与计算机工程学院,上海200093;中国电子科技集团公司第三十六研究所,浙江嘉兴314000 |
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| 基金项目： | 上海市科委科研计划;国家自然科学基金 |
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| 摘 要： | 为提高复杂噪声环境下语音信号端点检测的准确率,提出一种基于梅尔频谱倒谱系数(MFCC)距离的多维特征语音信号端点检测算法。通过计算语音信号的MFCC距离,结合短时能量和短时过零率对特征距离进行修正,并更新其阈值,建立自适应噪声模型,实现复杂噪声中语音信号端点的准确检测。实验结果表明,与基于双门限能量和基于倒谱距离的2种经典检测算法相比,在计算效率相同的条件下,该算法的检测准确率更高。
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| 关 键 词： | 语音信号 端点检测 多维特征 梅尔频谱倒谱系数距离 自适应噪声模型 |
Speech Endpoint Detection Algorithm Based on MFCC Distance in Complex Noise |
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| HAN Yunxiao,SHAO Qing,FU Yuxiang,GUO Qing.Speech Endpoint Detection Algorithm Based on MFCC Distance in Complex Noise[J].Computer Engineering,2020,46(3):309-314. |
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| Authors: | HAN Yunxiao SHAO Qing FU Yuxiang GUO Qing |
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| Affiliation: | (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;The 36th Research Institute of China Electronics Technology Group Corporation,Jiaxing,Zhejiang 314000,China) |
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| Abstract: | To improve the accuracy of speech signal endpoint detection under complex noise environment,this paper proposes a multidimensional feature speech signal endpoint detection algorithm based on MFCC distance.By calculating the MFCC distance of the speech signal and combining short time energy and short time over zero rate,this algorithm corrects the feature distance,updates the threshold value and establishes the adaptive noise model to achieve the speech signal endpoint detection in complex noise.Experimental results show that under the condition of same calculation efficiency,the proposed algorithm has higher detection accuracy compared with the two classic detection algorithms based on double threshold energy and cepstrum distance. |
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| Keywords: | speech signal endpoint detection multidimensional features MFCC distance adaptive noise model |
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