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Audio fingerprint retrieval method based on feature dimension reduction and feature combination | |
Zhang, Qiu-yu; Xu, Fu-jiu; Bai, Jian | |
2021-02-28 | |
发表期刊 | KSII Transactions on Internet and Information Systems |
ISSN | 1976-7277 |
卷号 | 15期号:2页码:522-539 |
摘要 | In order to solve the problems of the existing audio fingerprint method when extracting audio fingerprints from long speech segments, such as too large fingerprint dimension, poor robustness, and low retrieval accuracy and efficiency, a robust audio fingerprint retrieval method based on feature dimension reduction and feature combination is proposed. Firstly, the Mel-frequency cepstral coefficient (MFCC) and linear prediction cepstrum coefficient (LPCC) of the original speech are extracted respectively, and the MFCC feature matrix and LPCC feature matrix are combined. Secondly, the feature dimension reduction method based on information entropy is used for column dimension reduction, and the feature matrix after dimension reduction is used for row dimension reduction based on energy feature dimension reduction method. Finally, the audio fingerprint is constructed by using the feature combination matrix after dimension reduction. When speech’s user retrieval, the normalized Hamming distance algorithm is used for matching retrieval. Experiment results show that the proposed method has smaller audio fingerprint dimension and better robustness for long speech segments, and has higher retrieval efficiency while maintaining a higher recall rate and precision rate. Copyright © 2021 KSII |
关键词 | Hamming distance Information retrieval Speech analysis Dimension reduction Distance algorithm Feature combination Feature dimensions Information entropy Mel-frequency cepstral coefficients Retrieval accuracy Retrieval efficiency |
DOI | 10.3837/tiis.2021.02.008 |
收录类别 | EI ; SCIE |
语种 | 英语 |
WOS研究方向 | Computer Science ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Telecommunications |
WOS记录号 | WOS:000631719900009 |
出版者 | Korean Society for Internet Information |
EI入藏号 | 20211310139757 |
EI主题词 | Dimensionality reduction |
EI分类号 | 751.5 Speech ; 903.3 Information Retrieval and Use |
来源库 | WOS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/148465 |
专题 | 计算机与通信学院 |
通讯作者 | Zhang, Qiu-yu |
作者单位 | Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China |
第一作者单位 | 兰州理工大学 |
通讯作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Zhang, Qiu-yu,Xu, Fu-jiu,Bai, Jian. Audio fingerprint retrieval method based on feature dimension reduction and feature combination[J]. KSII Transactions on Internet and Information Systems,2021,15(2):522-539. |
APA | Zhang, Qiu-yu,Xu, Fu-jiu,&Bai, Jian.(2021).Audio fingerprint retrieval method based on feature dimension reduction and feature combination.KSII Transactions on Internet and Information Systems,15(2),522-539. |
MLA | Zhang, Qiu-yu,et al."Audio fingerprint retrieval method based on feature dimension reduction and feature combination".KSII Transactions on Internet and Information Systems 15.2(2021):522-539. |
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