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音频信号矢量编码算法

杨超 徐向旭 刘云飞 朱弘 芮天宇

海军航空大学学报2018,Vol.33Issue(2):201-204,224,5.
海军航空大学学报2018,Vol.33Issue(2):201-204,224,5.DOI:10.7682/j.issn.1673-1522.2018.02.004

音频信号矢量编码算法

Vector Coding Algorithm for Audio Signal

杨超 1徐向旭 2刘云飞 3朱弘 4芮天宇5

作者信息

  • 1. 海军航空大学,山东烟台264001
  • 2. 92635部队,山东青岛266041
  • 3. 海军航空大学青岛校区,山东青岛266041
  • 4. 91602部队,上海200082
  • 5. 92877部队,浙江舟山316200
  • 折叠

摘要

Abstract

Reducing the coding compression rate under the premise of guaranteeing a good decoding sound quality, thereby to reduce storage space of speech signal, in this paper, a audio signal encoding algorithm combining linear predictive en-coding, SOM neural network vector encoding and Huffman encoding algorithm was proposed. It was innovative to convert a list of sound signals into two column signals so that subsequent vector coding could be performed. The combination of pre-dictive coding and vector coding was realized. The sound signal codec experiment, was carried out by Matlab software pro-gramming. Experimental results showed that under the premise of guaranteeing the quality of voice, the bitrate of the en-coding method was less than the lowest 64kbps standard bitrate of MEPG-1 Layer3, and the algorithm was simple. The coding algorithm proposed in this paper would have high research value and good application prospect in audio signal com-pression coding.

关键词

音频信号/矢量编码/神经网络/压缩编码

Key words

audio signal/vector coding/neural network/compression coding

分类

信息技术与安全科学

引用本文复制引用

杨超,徐向旭,刘云飞,朱弘,芮天宇..音频信号矢量编码算法[J].海军航空大学学报,2018,33(2):201-204,224,5.

基金项目

国家自然科学基金资助项目(61402529) (61402529)

海军航空大学学报

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