Abstract

The current music multiterminal audio authentication algorithm does not consider the mutation of music signal, which leads to poor tamper detection ability and long time of audio authentication. By analyzing the characteristics and key technologies of wireless network, a wireless multiterminal audio system is established. The short‐term energy calculation method is used to consider the sudden change of music signal. The music signal is divided into note segments, and chroma features of half order notes are extracted. The robust hash value is calculated by nonuniform quantization method. The dynamic time warping algorithm is used to align the notes, and the Hamming distance between the hash values of each two corresponding notes is calculated to obtain the measurement values of error series, statistical characteristics, and time distribution characteristics. According to the measurement value, the fuzzy classification method is applied to calculate the membership degree of the signals belonging to two different types of operation, and the authentication confidence degree is obtained. The tampered area of the music signal that has not passed the authentication is detected, and the music multiterminal audio authentication is realized. Experimental results show that the proposed algorithm has good tamper detection ability and can effectively shorten the audio authentication time.

Highlights

  • With the maturity of multimedia compression technology and the rapid popularization of Internet, the creation, storage, and transmission of multimedia digital works such as image, video, and audio have become extremely convenient [1]

  • This paper presents the research of multiterminal audio authentication for music based on a wireless network

  • The dynamic time warping algorithm is used to align the notes, count the measured index values, use fuzzy classification to calculate the membership of the signal, obtain the authentication confidence, and detect the tampered area to realize the music multiterminal audio authentication

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Summary

Introduction

With the maturity of multimedia compression technology and the rapid popularization of Internet, the creation, storage, and transmission of multimedia digital works such as image, video, and audio have become extremely convenient [1]. In reference [4], a dynamic authentication watermarking algorithm for IOT signals is proposed to detect network attacks. The above algorithm does not consider the signal mutation, resulting in poor tamper detection ability and long audio authentication time [7]. (1) By analyzing the characteristics and key technologies of wireless networks, a wireless multiterminal audio system is established (2) The dynamic time warping algorithm is used to align the notes, and the Hamming distance between the hash values of each two corresponding notes is calculated to obtain the error sequence, the measurement value of the statistical feature, and the time distribution feature (3) According to the measured value, the fuzzy classification method is used to calculate the membership degrees of the signals belonging to two different types of operations to obtain the authentication confidence. The second part discusses the related technologies of wireless network, the third part discusses the music multiterminal audio authentication algorithm, the fourth part conducts an experimental simulation, and the fifth part summarizes the paper

Wireless Network Technology
Music Multiterminal Audio Authentication Algorithm
Music Multiterminal Audio Authentication Algorithm Protection Stage
Music Multiterminal Audio Authentication Algorithm Authentication Stage
Experimental Analysis
Conclusion

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