Low Bit Rates Waveform Interpolation Speech Coding Based on Singular Value Decomposition

WANG Gui-ping; BAO Chang-chun; ZHANG Peng

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Low Bit Rates Waveform Interpolation Speech Coding Based on Singular Value Decomposition

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- Low Bit Rates Waveform Interpolation Speech Coding Based on Singular Value Decomposition
- Acta Electronica Sinica Vol. 34, Issue 1, Pages: 135-140(2006)
- 作者机构：
  
  北京工业大学电子信息与控制工程学院,北京,100022
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN912.3
- Published：2006
- 稿件说明：
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WANG Gui-ping, BAO Chang-chun, ZHANG Peng. Low Bit Rates Waveform Interpolation Speech Coding Based on Singular Value Decomposition[J]. Acta Electronica Sinica, 2006, 34(1): 135-140.
DOI：

WANG Gui-ping, BAO Chang-chun, ZHANG Peng. Low Bit Rates Waveform Interpolation Speech Coding Based on Singular Value Decomposition[J]. Acta Electronica Sinica, 2006, 34(1): 135-140. DOI：

摘要

波形内插(WI)语音编码模型作为当今最具潜力的低速率语音编码方案之一

因其良好的性能

越来越受到人们的重视.本文基于一种奇异值分解(SVD)的特征波形分解方法

利用语音信号的感知特性

将二维特征波形的幅度谱分成基本矩阵、过渡矩阵和补充矩阵

并采用了不同的量化方法

有效地降低了运算复杂度;另外

本文根据语音信号时变特性

将三个矩阵分为三种组合模式表示特征波形幅度谱

并引入周期因子和能量熵来衡量矩阵周期程度

解决了奇异值分解后参数难于量化的问题

提高了编码效率.主观A/B测试表明

本文提出的2.4kbps SVD-WI编码器的重建语音质量略好于2.4kbps MELP编码器.

Abstract

As one of the current most potential low bit rates speech coding schemes

waveform interpolation model with its high performance

has been paid more and more attention.Based on a kind of Singular Value Decomposition method for decomposing Characteristic Waveform in WI speech coding

the magnitude spectrum of CW is perceptually divided into basic matrix

transitional matrix and supplemental matrix to be quantized respectively

which effectively reduce the computational complexity;In addition

there are three patterns to represent the magnitude spectrum of CW combined by the matrixes above

and then Periodic Factor and Energy Entropy are introduced to indicate the periodicity of matrix

which solved the problems for quantization of parameters after SVD and improved the efficiency of coding.Subjective A/B listening tests indicated that the reconstructed speech quality of the 2.4kbps SVD-WI codec is a little better than that of 2.4kbps MELP coder.

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XUE Er-juan

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Related Institution

Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology

Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology

School of Electronic Information and Control Engineering Beijing University of Technology

100084

清华大学微电子学研究所!北京

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