基于粒子群算法优化的音频特征应用研究

doi:10.11896/j.issn.1002-137X.2014.10.010

计算机科学 ›› 2014, Vol. 41 ›› Issue (10): 45-49.doi: 10.11896/j.issn.1002-137X.2014.10.010

• 2013’和谐人机环境联合学术会议 • 上一篇下一篇

基于粒子群算法优化的音频特征应用研究

王志强,郭宁,傅向华

深圳大学计算机与软件学院深圳518060;深圳大学计算机与软件学院深圳518060;深圳大学计算机与软件学院深圳518060

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受广东省自然科学基金项目(7301329),深圳市科技计划项目(200740)资助

Application Research of Audio Feature Based on Particle Swarm Optimization Algorithm

WANG Zhi-qiang,GUO Ning and FU Xiang-hua

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 在深入研究音频特征的基础上,提取响度特征和音调特征,并利用粒子群算法优化特征权重。提出一种对歌唱片段进行自动评价的方法,用于视频点歌系统的实时评分模块。实验结果表明,该系统能够反映演唱者歌声和歌曲原唱两者内容的相似程度,从而给出了有效的评分标准。

关键词: 音频特征,PSO,视频点歌系统

Abstract: Based on the research of audio feature,this paper extracted the features of loudness and pitch,and selected their feature weights by PSO．We proposed an automatic evaluation method of singing segment which was already applied to video song-on-demand marking system．According to the results of the experiments carried out,the systems characterizes similar degree of the singer singing and singing original sound in real time so that the marking standards are efficient.

Key words: Audio feature,PSO,Video song-on-demand systems

王志强,郭宁,傅向华. 基于粒子群算法优化的音频特征应用研究[J]. 计算机科学, 2014, 41(10): 45-49. https://doi.org/10.11896/j.issn.1002-137X.2014.10.010

WANG Zhi-qiang,GUO Ning and FU Xiang-hua. Application Research of Audio Feature Based on Particle Swarm Optimization Algorithm[J]. Computer Science, 2014, 41(10): 45-49. https://doi.org/10.11896/j.issn.1002-137X.2014.10.010

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基于粒子群算法优化的音频特征应用研究

Application Research of Audio Feature Based on Particle Swarm Optimization Algorithm

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