Using Paired Distances of Signal Peaks in Stereo Channels as Fingerprints for Copy Identification

Author:

You Shingchern D.1,Pu Yi-Han2

Affiliation:

1. National Taipei University of Technology, Taipei, Taiwan

2. National Taipei University of Technology, Taipei

Abstract

This article proposes to use the relative distances between adjacent envelope peaks detected in stereo audio as fingerprints for copy identification. The matching algorithm used is the rough longest common subsequence (RLCS) algorithm. The experimental results show that the proposed approach has better identification accuracy than an MPEG-7 based scheme for distorted and noisy audio. When compared with other schemes, the proposed scheme uses fewer bits with comparable performance. The proposed fingerprints can also be used in conjunction with the MPEG-7 based scheme for lower computational burden.

Funder

National Science Council of Taiwan

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture

Reference33 articles.

1. 3GPP TS 26.404. 2012. 3rd generation partnership project; technical specification group services and system aspects; general audio codec audio process functions; Enhanced aacPlus general audio codec; enhanced aacPlus encoder SBR part 3GPP TS 26 404 v 11.0.0 (Sept. 2012). 3GPP TS 26.404. 2012. 3rd generation partnership project; technical specification group services and system aspects; general audio codec audio process functions; Enhanced aacPlus general audio codec; enhanced aacPlus encoder SBR part 3GPP TS 26 404 v 11.0.0 (Sept. 2012).

2. Audio Fingerprinting: Combining Computer Vision & Data Stream Processing

3. On audio recognition performance via robust hashing

4. A Framework for Robust Audio Fingerprinting

5. A tutorial on onset detection in music signals

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparative Study of Dimensionality Reduction Techniques for Spectral–Temporal Data;Information;2020-12-22

2. Music Similarity Evaluation Based on Onsets;Lecture Notes in Electrical Engineering;2017-09-27

3. Simulated smart phone recordings for audio identification;The Journal of Supercomputing;2015-10-19

4. Comparative study of singing voice detection methods;Multimedia Tools and Applications;2015-08-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3