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Description: 语音信号的特征提取，语音信号的Mel倒谱特征（MFCC）的求解方法，语音信号的线性预测原理以及LPC特征的求解方法
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Size: 366491 |
Author: 孟星 |
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Description: 采用间接方法提取MEL倒谱，先计算自相关系数，然后由自相关系数计算LPC预测系数和反射系数，再计算LPC倒谱系数，最后由LPC倒谱系数计算MFCC 。
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Size: 152331 |
Author: 大夹馅 |
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Description: 本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。在对语音数据进行特征提取前，可对语音数据进行16K到8K的降采样率处理，包含180阶FIR滤波器的频率压缩程序。-this program includes voice compression and voice recognition requirements in the area of the LPCC Features. MFCC feature extraction algorithm and voice endpoint detection source. In the voice data for feature extraction, voice data can be right for K to 16 K, the reduction of eight sampling rate, contains 180 bands FIR filter frequency compression process.
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Size: 39936 |
Author: 王小飞 |
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Description: 提取MFCC和LPC系数的程序，很详尽，从提取LPC到MFCC逐步进行-extraction MFCC and LPC coefficients procedures, is very detailed, from the extraction of LPC gradually MFCC
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Size: 3072 |
Author: chang |
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Description: 完整的基音识别程序,经过修改,测试正确。包含基音检测，DTW，LPCC，MFCC提取等-integrity of the pitch identification procedures, the result of the revision, the test correctly. Pitch Detection included, DTW, LPCC Features, MFCC extraction
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Size: 6144 |
Author: tianshi |
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Description: 基于改进LPCC和MFCC的汉语耳语音识别,在MATLAB上设计出了基于LPCC和MFCC的汉语语音孤立词识别/-LPCC and MFCC Based on Improved Chinese ear speech recognition, in the MATLAB design based on the LPCC and MFCC Chinese isolated word speech recognition /
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Size: 344064 |
Author: chenfeng |
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Description: 语音信号的特征提取，语音信号的Mel倒谱特征（MFCC）的求解方法，语音信号的线性预测原理以及LPC特征的求解方法
-Speech signal feature extraction, speech signal characteristics of Mel cepstrum (MFCC) the solution, voice signals, as well as the principle of linear prediction characteristics of the LPC method
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Size: 366592 |
Author: 孟星 |
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Description: 采用间接方法提取MEL倒谱，先计算自相关系数，然后由自相关系数计算LPC预测系数和反射系数，再计算LPC倒谱系数，最后由LPC倒谱系数计算MFCC 。-Indirect method of extracting MEL cepstrum, first calculating the autocorrelation coefficient, and then auto-correlation coefficient calculated by the LPC prediction coefficient and reflection coefficient, and then calculating the LPC cepstral coefficients, and finally by the LPC cepstral coefficient calculating MFCC.
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Size: 4114432 |
Author: 大夹馅 |
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Description: 语音信号处理，matlab源码
edp.m enframe.m lpc.m mel.m mfcc.m-Speech signal processing, matlab source edp.m enframe.m lpc.m mel.m mfcc.m
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Size: 1278976 |
Author: 段炼 |
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Description: 《matlab扩展编程》光盘资料.关于端点检测，录音，参数提取，HMM,LPC,MFCC,DYW等一些源代码-err
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Size: 139264 |
Author: feifei |
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Description: 通信工程课件回答求MFCC的方法流程、简述线性预测分析(LPC)的基本思想
-A crash course in computer programming
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Size: 1024 |
Author: 童童 |
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Description: 用MATLAB进行语音识别的特征参数提取，其中包含了lpc和MFCC两种方法，并且测试通过。-Using MATLAB to carry out speech recognition feature extraction, which contains two methods lpc and MFCC, and the test.
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Size: 6144 |
Author: 雪巍 |
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Description: 语音识别中的mfcc参数提取程序，从HTK中剪出来的，结果和HTK得出来的一模一样（配置文件已给）。39维的，带能量。-mfcc extraction process.Come from the HTK
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Size: 320512 |
Author: liu |
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Description: OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI
Kö ksal Ö CAL
Ankara Ü niversitesi
Fen Bilimleri Enstitüsü
Elektronik Mühendisliğ i Anabilim Dalı
Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK
Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI
Kö ksal Ö CAL
Ankara Ü niversitesi
Fen Bilimleri Enstitüsü
Elektronik Mühendisliğ i Anabilim Dalı
Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK
Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik SMM
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Size: 1241088 |
Author: strike |
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Description: 用MATLAB分别编写了通过MFCC,EDP,LPC处理后的语音信号-Sound signal is treated by MFCC,EDP,LPC and show the final result.
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Size: 1759232 |
Author: 张鑫 |
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Description: 提取LPC参数进行，倒谱系数的计算，用于静音检测算法，-Extract LPC parameters, the calculation of cepstral coefficients for mute detection algorithm
Platform: |
Size: 428032 |
Author: 李鹏伟 |
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Description: dtw文件是运用DTW算法实现安静环境下语音识别的。其中vad.m是端点检测程序；lpc.m是计算LPC参数的程序；lpc21lpcc.m是计算LPCC参数的程序；mfcc.m是计算MFCC参数的程序；dtw.m是实现经典DTW算法的程序；dtw2.m是实现高效DTW算法的程序，testdtw.m是最终测试程序，其中可以通过改变其中的特征参数名选择不同的特征参数。-dtw file DTW algorithm is to use speech recognition in quiet environments. Which is the endpoint detection process vad.m lpc.m is to calculate the LPC parameters of the program lpc21lpcc.m procedure is to calculate the LPCC parameters mfcc.m procedure is to calculate the MFCC parameters dtw.m the classic DTW algorithm to achieve the program dtw2.m DTW algorithm is to achieve efficient procedures, testdtw.m is the final test program, which can change the parameters in which different parameters were selected.
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Size: 8192 |
Author: 于军 |
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Description: dtw0文件是运用DTW算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；lpc.m是计算LPC参数的程序；lpc21lpcc.m是计算LPCC参数的程序；mfcc.m是计算MFCC参数的程序；dtw.m是实现经典DTW算法的程序；dtw2.m是实现高效DTW算法的程序，testdtw.m是最终测试程序，其中可以通过改变其中的特征参数名选择不同的特征参数。-dtw0 file DTW algorithm is to use speech recognition in noisy environments. Which is the endpoint detection process vad.m lpc.m is to calculate the LPC parameters of the program lpc21lpcc.m procedure is to calculate the LPCC parameters mfcc.m procedure is to calculate the MFCC parameters dtw.m the classic DTW algorithm to achieve the program dtw2.m DTW algorithm is to achieve efficient procedures, testdtw.m is the final test program, which can change the parameters in which different parameters were selected.
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Size: 1084416 |
Author: 于军 |
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Description: 语音信号处理实验_matlab源码MFCC方法-Speech Signal Processing _matlab source lpc method
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Size: 428032 |
Author: 13675205590 |
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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
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Size: 72704 |
Author: houjam |
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