Description: 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令newrbe。-read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab. Platform: |
Size: 3928 |
Author:韦敏 |
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Description: 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令newrbe。-read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab. Platform: |
Size: 4096 |
Author:韦敏 |
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Description: 语音信号中LPC参数的提取，简单用C实现-LPC parameters of speech signal extraction, a simple implementation using C Platform: |
Size: 14336 |
Author:韩磊 |
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Description: 语音信号使用lpc线性预测法识别并提取共振峰，共振峰提取技术是语音识别和语音合成的关键。-Using lpc line estimate method identifies and withdraws the resonance in speech signal, the technique of resonance withdraws is the key of the speech understanding and speech synthesis.
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Size: 523264 |
Author:王丽 |
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Description: 运用自相关方法，估计语音信号的声道参数，绘出随预测增加时语音信号的LPC谱包络曲线，并与FFT谱比较。-Using autocorrelation method to estimate the channel parameters of speech signals, when plotted with the predicted increase in LPC speech signal spectral envelope curve, and compared with the FFT spectrum. Platform: |
Size: 1024 |
Author:侍建超 |
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Description: This encoder is a part of Linear Predictive Coder which can be used to encode the signal using LPC technique to compress the speech signal-This encoder is a part of Linear Predictive Coder which can be used to encode the signal using LPC technique to compress the speech signal.. Platform: |
Size: 10240 |
Author:Shrikant Chandraker |
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Description: 1.用matlab实现对一个元音和一个清辅音的LPC系数，LPCC系数和MFCC系数的提取。
2，用LPC对这两个语音信号的功率谱进行估计，其中，LPC系数要分别有5阶，10阶，15阶和20阶四种情况，并在一个图里画出信号本身的FFT功率谱和四条不同阶数的LPC谱估计图，以作比较。注意，LPC和LPCC只考察自相关法。
3，用对数面积比的方法来求出这两个发音的变截面声管模拟图形，10阶即可-Using matlab to achieve the LPC coefficients of a vowel and a voiceless consonant, the extraction of LPCC Features coefficients and MFCC coefficients. LPC both the speech signal power spectrum estimate, which, LPC coefficients, respectively, five bands, 10 bands, 15 bands and 20 the first four cases, and draw a graph of the FFT power of the signal itself spectrum and four different orders of LPC spectral estimation map, for comparison. LPC and LPCC only examine the autocorrelation method. 3, the number of area ratio method to calculate the variable cross-section of the two pronunciation sound tube simulation graphics, 10 bands can be Platform: |
Size: 72704 |
Author:houjam |
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Description: In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Discrete Wavelet Transform (DWT) was implemented using MATLAB. Here nine samples of spoken words are collected from different speakers and are used for implementation. The results obtained from LPC were compared with other compression technique called Discrete Wavelet Transform. Finally the results were evaluated in terms of compressed ratio (CR), Peak signal-to-noise ratio (PSNR) and Normalized root-mean square error (NRMSE).The result shows that DWT performance was better for these samples than the LPC method. Platform: |
Size: 147456 |
Author:Ambika |
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Description: 本程序是用matlab编写的LPC算法，用于语音基频信号检测中。具体包括利用自相关法计算LPC系数。-This program is prepared using matlab LPC algorithm for speech baseband signal detection. Specifically including the use of LPC coefficients calculated autocorrelation method. Platform: |
Size: 29696 |
Author:吴青青 |
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Description: 本程序利用MATLAB对信号进行分析和处理，主要就是进行语音线性预测通过使实际语音抽样值与线性预测抽样值的均方误差达到最小，可以确定唯一的一组线性预测系数。-This procedure using MATLAB for signal analysis and processing, mainly for voice linear prediction by the actual voice sampling error of the mean square value and the minimum value of the linear prediction sample can be determined only one set of linear prediction coefficients. Platform: |
Size: 23552 |
Author:林霞 |
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Description: 利用MATLAB执行LPC分析和合成语音文件和显示原始语音信号通过滤波,提取LPC的错误(激发)信号,然后使用逆LPC的滤波误差信号,可以完全恢复原始语音信号。-This MATLAB exercise performs LPC analysis and synthesis on a speech file and shows that by filtering the original speech signal, extracting the LPC error (excitation) signal, and then using the inverse LPC filter on the error signal, the original speech signal can be recovered exactly. Platform: |
Size: 3045376 |
Author:付晓强 |
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Search - Speech signal using LPC