基于多模预测多级矩阵量化的LSF参数高效编码

Xia Zou, Xiongwei Zhang
{"title":"基于多模预测多级矩阵量化的LSF参数高效编码","authors":"Xia Zou, Xiongwei Zhang","doi":"10.1109/ICOSP.2008.4697190","DOIUrl":null,"url":null,"abstract":"An efficient multi-mode predictive multistage matrix quantization is proposed for very low bit rate quantization of line spectral frequencies (LSF) in LPC based speech coder. One novel aspect of the proposed technique is the mode based predictor and quantizer. Another novel aspect is the optimization of the predictive coefficients considering the mode transition between successive superframes and the connection between predictor and quantizer. Experimental results show that the proposed method yields higher quality LSF quantizer at very low bit rate than those designed with several recently proposed methods.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Efficient coding of LSF parameters using multi-mode predictive multistage matrix quantization\",\"authors\":\"Xia Zou, Xiongwei Zhang\",\"doi\":\"10.1109/ICOSP.2008.4697190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient multi-mode predictive multistage matrix quantization is proposed for very low bit rate quantization of line spectral frequencies (LSF) in LPC based speech coder. One novel aspect of the proposed technique is the mode based predictor and quantizer. Another novel aspect is the optimization of the predictive coefficients considering the mode transition between successive superframes and the connection between predictor and quantizer. Experimental results show that the proposed method yields higher quality LSF quantizer at very low bit rate than those designed with several recently proposed methods.\",\"PeriodicalId\":445699,\"journal\":{\"name\":\"2008 9th International Conference on Signal Processing\",\"volume\":\"149 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 9th International Conference on Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.2008.4697190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 9th International Conference on Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2008.4697190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

针对基于LPC的语音编码器中线谱频率的极低比特率量化,提出了一种高效的多模预测多级矩阵量化方法。该技术的一个新方面是基于模式的预测器和量化器。另一个新颖的方面是考虑到连续超帧之间的模式转换以及预测器和量化器之间的联系来优化预测系数。实验结果表明,该方法在极低的比特率下产生的LSF量化器比目前几种方法设计的量化器质量更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient coding of LSF parameters using multi-mode predictive multistage matrix quantization
An efficient multi-mode predictive multistage matrix quantization is proposed for very low bit rate quantization of line spectral frequencies (LSF) in LPC based speech coder. One novel aspect of the proposed technique is the mode based predictor and quantizer. Another novel aspect is the optimization of the predictive coefficients considering the mode transition between successive superframes and the connection between predictor and quantizer. Experimental results show that the proposed method yields higher quality LSF quantizer at very low bit rate than those designed with several recently proposed methods.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信