搜索资源列表
vector_quantization
- 语音信号的矢量量化,其中vector_quantization.m为读取音频文件,转换成语音帧,求lpc及lsf参数以及进行矢量量化的主程序,a_lsf_conversion.m为主程序调用的lpc转lsf参数的子程序,INLS1.wav为音频文件。-Vector quantization of speech signals, wherein vector_quantization.m to read audio file, converted into speech frames, seeki
speech_voice
- 用matlab实现语音合成,并修改基频、lpc、lsp参数,使合成质量有所提高-Using matlab speech synthesis, and modify the baseband, lpc, lsp parameters, the quality has improved synthesis
lpcctezheng
- 语音情绪识别中用到的lpcc特征参数的提取,所用的方法为LPC参数提取。-Used in speech emotion recognition lpcc characteristic parameter extraction, the use of the LPC parameter extraction method.
voicebox
- 语音分析合成Matlab工具箱,用于语音编码,语音解码,语音DSP数字化处理,LPC,MELP,PCM,CEP-VOICEBOX is a MATLAB toolbox for speech processing. Speech synthesis analysis Matlab Toolbox for speech coding, speech decoding, digital voice processing DSP, LPC, MELP, PCM, CEP ...
lpczl
- 通过改变想要处理的帧,和预测器阶数,对原始语音帧和预测语音帧作一个比较,并作出短时谱和lpc谱,最后作倒谱比较。-By changing the processing of the desired frame, and the predictor order, the original speech frame and the predicted speech frame to make a comparison and to make short-term spectrum and the l
risidual
- 预测语音信号的LPC系数,求出残差信号,再由残差信号恢复原始语音信号,由此可以看出残差信号在信号处理中的重要性。-Prediction of LPC coefficients about the speech signal, and a residual signal is obtained, and then restore the original speech signal from the residual signal, the importance of which can be
XINGXINGYUCED2
- 这个程序再matlab2012b版本上调试成功,以前在毕业设计的时候在网上找到的资料,希望对大家有用,基于线性预测系数(LPC)的语音信号重构。给出了完整的LPC matlab程序,包括语音信号采集,LP预测系数,阶数的选择以及预测结果误差曲线。(很好用)-This version of the program and then on the successful commissioning matlab2012b information previously graduation when f
a_lsf
- 已知语音文件求出其LPC系数后,调用a_lsf_conversion.m函数求其对应的LSF-Known find their voice files LPC coefficients, call a_lsf_conversion.m corresponding LSF function evaluation
yuyin
- 基于MATLAB的语音信号线性预测分析即LPC 包括线性预测系数 语音合成等-About LPC
9MATLABCHULIXIN
- 第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简
speech-analysis
- 对语音进行分析,包括时域分析(包括能量、过零率、互相关函数)和频域分析(包括fft变换、倒谱、LPC)-Speech analysis, including time domain analysis (including energy, zero-crossing rate, the cross-correlation function) and frequency domain analysis (including fft transform, cepstrum, LPC)
matlab_LPC
- 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.
61619f415781
- lpc 在语音识别中的应用,识别效果满意,可以借鉴参考学习-LPC application in speech recognition, the recognition effect is satisfied, you can reference for learning
SpeechRecAndSyn07
- 一个带用户界面的matlab语音合成和识别的程序,MainGuide01.fig通过提取MFCC,用dtw来计算实时录音和模板之间的最小距离,给出识别结果,并且给出波形图,频谱图,语谱图。MainGuide02.fig是语音合成程序,通过load一个wav文件用LPC,残差和pitch两种方式进行合成,并且能实时听合成语音的效果。-This is an simple user interface program including speech recoginition and speech s
main2
- 使用Matlab,采用LPC线性预测编码对wav语音文件进行压缩编码-Using Matlab, using linear predictive coding LPC voice wav file compression
voicebox
- 语音处理工具包,包括matlab语音输入输出,谱分析,LPC分析,语音增强等-Voice processing toolkit, including matlab voice input and output, spectral analysis, LPC analysis, speech enhancement, etc.
VOICE-BOX
- 语音识别常用工具箱,包括lpc,lpcc等常用的特征提取函数以及vad等。迟早会用到。-Common speech recognition tool,it includes the commonly used features lpc, lpcc and other extraction function and vad like. Sooner or later it will be used.
lpc_vocoder_rev2
- 这个MATLAB构建一个锻炼LPC声码器,即,执行LPC分析和合成语音文件,导致合成语音近似原始的演讲。LPC分析使用一个标准的自相关分析来确定LPC系数的设置,一帧一帧的基础上,以及框架获得。一个独立的分析方法(cepstral螺距内检测器)把每一帧的言论是要么表示演讲(时间由cepstral峰值的位置在指定范围的音调时期)或无声的言论(模拟随机噪声帧)0帧基音周期的样本。独立的分析提供了一个两国并存的激发函数LPC合成处理的一部分,包括一系列的脉冲(表示帧期间)和/或噪声序列(在无声的帧)。
voice-signal-processing
- 用自相关法求使信号s均方预测误差为最小的预测系数 已知语音文件求出其LPC系数后,调用a_lsf_conversion.m函数求其对应的LSF 求连续20帧语音的16阶ISF轨迹图-Request by autocorrelation of the signal s mean square prediction error is minimized prediction coefficient Known voice file LPC coefficients obtained its cal
sy2
- (1) 分别采集一段浊音和清音语音信号(是你自己说的),采样率为8KHZ,量化精度为16比特线性码; (2) 分析帧长取为30ms(或10ms~50ms); (3) 根据语音信号倒谱分析和LPC谱分析的编程流程图(图2.1、图2.2)编制浊音语音信号谱分析的matlab程序,上机调试给出相应波形,并根据图形,观察共振峰情况; (4) 将语音信号换为清音语音,运行程序,与浊音语音的运行结果进行比较,并得出结论。 (5) 在LPC谱分析中,改变阶数p (p分别等于4、8、12、40)