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Description: Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent
unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard
CS formulation, a codebook of transfer functions is proposed in a
matching pursuit (MP) framework for CS recovery. It is found that
MP is efficient and effective to recover CS encoded speech as well
as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge
to the same linear transform as direct VQ of the LP vector derived
from the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain
approximation for a large variety of speech spectra.
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Size: 354304 |
Author: pashaa
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Description: 采用矢量量化算法实现图像压缩, 代码采用C语言编写。(VQ algorithms for image compressing)
Platform: |
Size: 1120256 |
Author: cli2000
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Description: 矢量量化梅尔倒谱系数孤立词识别，识别说话者声音(speech recognition VQ MFCC)
Platform: |
Size: 498688 |
Author: tian-
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Description: 语音信号处理与现代语音通信课件
【1】 绪论
【2】 声音信号的分类与数字化
【3】 语音的发声模型和人的听觉特性
【4】 语音信号的时域和频域分析方法
【5】 语音信号的线性预测编码(LPC)技术
【6】 演示实验
【7】 各种语音处理和通信系统的质量评价体系
【8】 语音信号的数字压缩标准
【9】 语音波形编码技术-part one(ADPCM系统)
【10】语音波形编码技术-part two(VQ、SBC、APC系统)
【11】语音参数及混合编码技术-part one
Platform: |
Size: 1902547 |
Author: asdwzl@eyou.com |
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Description: 1.在MATLAB中直接实现Marching Cubes;
2.使用了向量化和预分配的概念在MATLAB中优化;
3.用c-mex函数和GPU实现.(1. Marching Cubes is realized directly in MATLAB;
2., the concepts of VQ and pre allocation are optimized in MATLAB.
3. is implemented with c-MEX function and GPU.)
Platform: |
Size: 97280 |
Author: zyj0-0 |
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Description: 此程序是基于VQ的说话人识别matlab程序，制作GUI界面具有可操作性，子程序可用于大家参考，可以有不足地方(This program is based on VQ speaker recognition matlab program, making GUI interface is operable, subroutines can be used for your reference.)
Platform: |
Size: 3022848 |
Author: 辰1996 |
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Description: 实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)
Platform: |
Size: 6144 |
Author: 暗大师傅 |
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