A low-bit rate segment vocoder using minimum residual energy criteria

Abhijit Pradhan, Sadhana Chevireddy, Kamakoti Veezhinathan, H. Murthy
{"title":"A low-bit rate segment vocoder using minimum residual energy criteria","authors":"Abhijit Pradhan, Sadhana Chevireddy, Kamakoti Veezhinathan, H. Murthy","doi":"10.1109/NCC.2010.5430195","DOIUrl":null,"url":null,"abstract":"In speech coding, segment vocoders offer good intelligibility at low bit rates. A segment vocoder has four basic components 1)Segmentation of input speech 2)Segment quantization 3)Residual quantization 4)Synthesis of speech. Most segment vocoders use a recognition approach to segment quantization. In this paper, we assume a different approach to segment quantization. The segmental unit is a syllable and the segment codebook stores the sequence of LPC vectors. During the encoding process the speech segment is quantized using the sequence of LPC vectors that result in the smallest residual energy. PESQ scores indicate that this vocoder achieves better quality compared to that of a corresponding vocoder that uses a speech recognition framework.","PeriodicalId":130953,"journal":{"name":"2010 National Conference On Communications (NCC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 National Conference On Communications (NCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCC.2010.5430195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In speech coding, segment vocoders offer good intelligibility at low bit rates. A segment vocoder has four basic components 1)Segmentation of input speech 2)Segment quantization 3)Residual quantization 4)Synthesis of speech. Most segment vocoders use a recognition approach to segment quantization. In this paper, we assume a different approach to segment quantization. The segmental unit is a syllable and the segment codebook stores the sequence of LPC vectors. During the encoding process the speech segment is quantized using the sequence of LPC vectors that result in the smallest residual energy. PESQ scores indicate that this vocoder achieves better quality compared to that of a corresponding vocoder that uses a speech recognition framework.
使用最小剩余能量标准的低比特率分段声码器
在语音编码中,段声编码器在低比特率下提供良好的可理解性。一个分段声码器有四个基本组成部分:1)输入语音的分割2)分段量化3)残差量化4)语音合成。大多数段声编码器使用识别方法来分段量化。在本文中,我们假设了一种不同的分段量化方法。段单元是一个音节,段码本存储LPC向量的序列。在编码过程中,使用LPC向量序列对语音片段进行量化,从而产生最小的剩余能量。PESQ分数表明,与使用语音识别框架的相应声码器相比,该声码器实现了更好的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信