摘要
为进一步减小音频信号的码率,针对基于线性预测编码、SOM神经网络矢量编码以及Huffman编码相结合的声音信号联合编码(以下简称联合编码),提出了通过合理选择码书长度值进一步减小声音信号码率的算法。利用Matlab软件编程进行了不同码书长度值的声音信号编解码实验。实验结果表明,在保证声音质量的前提下,通过合理选择码书长度值,可以使声音信号的码率远低于MEPG-1 Layer3的最低64kb/s标准码率,达到11.025kb/s的码率值。文章提出的编码算法可为音频压缩编码的进一步研究提供参考。
In order to further reduce the bitrate of audio signal, an algorithm based on the combination of linear predictive coding, SOM neural network vector coding and Huffman coding （hereinafter referred to as joint coding） was proposed to further reduce the sound signal bitrate by selecting the length value of the eodebook reasonably. The encoding and decoding experiments of voice eodee with different eodebook length were carried out by Matlab software prograrnnfing. The experi- mental results show that, on the prenfise of guaranteeing the sound quality, the minimum bitrate of the sound signal is much lower than the minimum standard bitrate of the MEPG-1 Layer3, and the bitrate of 11.025kb/s can be reached by seleering the length of the eodebook reasonably. The coding algorithm proposed in this paper can provide reference for further research of audio compression coding.
作者
杨超
黄隽逸
刘云飞
孙云
徐向旭
YANG Chao;HUANG Junyi;LIU Yunfei;SUN Yun;XU Xiangxu(Naval Aviation University,Yantai Shandong 264001,China;Qingdao Branch of Naval Aviation University,Qingdao Shandong 266041,China;The 91604th Unit of PLA,Longkou Shandong 266041,China;The 92635th Unit of PLA,Qingdao Shandong 266041,China)
出处
《海军航空工程学院学报》
2018年第4期345-350,共6页
Journal of Naval Aeronautical and Astronautical University
基金
国家自然科学基金资助项目(61402529)
关键词
音频信号
矢量编码
神经网络
压缩编码
audio signal
vector coding
neural network
compression coding
