Description: 用DSP实现的一个简单的语音识别系统,只要实现单个词的识别即可,采样率8k,帧长30ms,帧移10ms,系统采样后分帧--端点检测,将检测到的原始语音信号保存下来,基本上一个字在30帧左右,然后提取每帧的LPC参数--将LPC参数转换为LPC倒谱系数,然后利用DTW方法和模板比较.-a brief speech recognition system, as long as the realization of a single word can be identified. 8 k sampling rate, frame size of 30 ms and 10 ms frame shift, hours after sampling frame-- Endpoint Detection, Detection of the original speech signal preserved, basically a word in 30% Then each frame from the LPC parameters-- will be converted to LPC parameters LPC cepstrum coefficients. Then DTW methods and template comparison. Platform: |
Size: 1024 |
Author:yautou |
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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 Platform: |
Size: 3072 |
Author:chang |
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Description: 具有详细的lpc系数提取的方法，使用vc编写的，有很好的参考价值-LPC coefficients a detailed method of extraction, use the vc prepared, have a good reference value Platform: |
Size: 3072 |
Author:花儿 |
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Description: 本文讨论了AR模型及线性预测的原理，在浮点型DSP TMS320C6713B上实现了语音信号线性预测系数(LPC)的提取，并利用LPC系数用Verilog语言实现了AR模型的Lattice结构。-This article discusses the AR model and the principle of linear prediction, in the floating-point DSP TMS320C6713B realize the voice signal on the linear prediction coefficient (LPC) of the extract, and the use of LPC coefficients using Verilog languages realize the AR model Lattice structure. Platform: |
Size: 14336 |
Author:万金油 |
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Description: 语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等
绝对保证质量，是保研后导师布置的一些基础程序-Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-term rate of poor cepstrum, complex cepstrum, lpc coefficients, lpc spectral estimation, such as an absolute guarantee that the quality of instructors is the security arrangement after the inquest some of the basis of procedures Platform: |
Size: 6144 |
Author:云鹏 |
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Description: LPC编码与解码，有全过程（含仿真源码、wav文件），实际运用已通过！-LPC encoding and decoding, has the whole process (including simulation source, wav file), the practical application has passed! Platform: |
Size: 87040 |
Author:栗子 |
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Description: rt_lpc is a light-weight application that performs real-time LPC analysis and synthesis. It features the following:
real-time LPC analysis
real-time LPC synthesis
visualization of original, predicted, and error waveforms
visualization of vocal tract shape from LPC coefficients
adjustable LPC analysis order
adjustable synthesis pitch shift
MIDI controlled pitch (hit m )
lots of other choices (pitch pulse source selection, emphasis filter)
STFT plot
modular LPC library
available on MacOS X, Linux, and Windows under GPL
part of the sndtools distribution
Platform: |
Size: 111616 |
Author:尉迟雪凝 |
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Description: 可以在CCS中运行的LPCC程序，包括语音参数分析主函数，信号的自相关函数，由自相关函数计算LPC预测系数，由LPC预测系数计算LPC倒谱系数，由LPC预测系数计算MEl到普系数等函数-CCS can be run at the LPCC procedures, including analysis of voice parameters of the main function, the signal autocorrelation function, autocorrelation function calculated from LPC prediction coefficients, by the LPC prediction coefficients LPC cepstral coefficients, calculated by the LPC prediction coefficients to the S & P coefficients Mel such as function Platform: |
Size: 3072 |
Author:renmay |
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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 Platform: |
Size: 1241088 |
Author:strike |
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Description: Levison-Durbin 语音信号处理中的线性预测编码LPC 理论、格型滤波器以及求解现行预
测方程的算法，可以实现对语音信号重要元素的分析、合成甚至识别。
基于现有的实验平台，我们可以利用 Matlab 函数来获得几个固定语音元素（如元音）
的模型系数，LPC 得到的系数组成 IIR 滤波器。利用冲击脉冲
序列作为输入，我们就可以得到原来的语音。这是一种简单的语音合成功能。-Levison-Durbin speech signal processing in linear predictive coding LPC theory, lattice filters, as well as the current prediction equation solving algorithm, can achieve an important element of the speech signal analysis, synthesis or recognition. Based on the existing experimental platform, we can use Matlab function to obtain the number of fixed-voice elements (such as vowels) model coefficients, LPC coefficients are the composition of IIR filters. Shock pulse sequence used as input, we can get the original voice. This is a simple voice synthesis. Platform: |
Size: 283648 |
Author:Ender Lee |
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Description: LPC系数使用matlab实现的算法，比较经典。-LPC coefficients using the matlab implementation of the algorithm, more classic. Platform: |
Size: 427008 |
Author:xys |
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Description: 对加窗后的语音帧计算lpc系数.用倒谱的方法求频谱 加海明窗的原始语音帧LPC倒谱.-Calculate lpc coefficients of the windowed speech frames. Cepstrum and spectrum the Jia Haiming window of the original speech frame LPC cepstrum. Platform: |
Size: 1024 |
Author:zanzan |
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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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Search - LPC coefficients