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yuyinduanshichuli
- 语音信号预处理matlab程序,在7.0上运行通过,可以做实验参者代码(包括:lpc 谱、短时谱分析、短时过零率、短时能量、语音端点检测等)-Matlab voice signal pre-processing program, run through the 7.0, you can experiment with participation by the code.
llpcp
- lpc线性预测编码,合成与分析析,在matlab中实现-lpc -lpc linear predictive coding, synthesis and analysis of the analysis, in-lpc in Matlab
SProject_refep
- 有关语音增强 LPC 倒谱分析 去噪的matlab程序 -The speech enhancement LPC cepstrum analysis Denoising Matlab program
formantvector
- 可以有效提取一分析帧的语音信号的共振峰频率和其相对幅度-A method based on LPC to extract the formant and its log magnitude.
LPC_dsp
- 利用MATLAB实现LPC的分析和合成,用于DSP的实现-MATLAB LPC analysis and synthesis for DSP implementations
Audio-analyze
- 语音提取和分析,运用LPC的方法对语音信号进行分析以及最终的合成。-Voice extraction and analysis using a method of LPC analysis of the voice signal as well as the final synthesis.
Speech-signal-short-time-analysis
- 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-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-t
lpc_spectrum
- 语音信号处理中挺实用的程序,用MATLAB实现LPC谱的分析,对初学者很有用处。-Very useful program in speech signal processing, with MATLAB implementation LPC spectrum analysis, useful for beginners.
SpeechSignalPossessing-1995
- 语音信号处理 包括语音信号的同态处理和先行预测编码分析(LPC) 隐马尔可夫模型的分析(HMM)等-The voice signal processing includes a voice signal the homomorphic processing and the first prediction coding analysis (LPC) analysis of the Hidden Markov Model (HMM)
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 ...
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)
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)
libogg
- 首先对输入音频PCM信号进行时频分析,决定MDCT的长度,即加窗,然后进行MDCT变换;同时对原始音频信号要进行FFT分析。两种变换的频谱系输入给心理声学模型单元,MDCT系数用于噪声掩蔽计算,H可结果用于音调掩蔽特性计算,共同构造总的掩蔽曲线。然后根据MDCT系数及掩蔽曲线,对频谱系数进行线性预测分析用LPC(Linear Prediction Coefficience,线性预测系数)表示频谱包络,即基底曲线(Floor Curve);或通过线性分段逼近方式获得基底曲线。从MDCT系数中去掉
fdfd
- 第二章 设计思路 2.1 设计总体框图 有分析可知,本次课程设计可以分成五个木块来实现相应的功能,分别是输入模块,计算模块,扫描模块,输出模块以及显示模块。((Calculator design based on FPGA DE2 development board. language use Verilog. Matrix keyboard input, LCD1602 display. Program includes key scanning module and LCD modul
LPCC
- 线性预测倒谱系数(Linear Prediction Cepstrum Coefficient,LPCC)是线性预测系数(Linear Prediction Coefficient,LPC)在倒谱域中的表示。该特征是基于语音信号为自回归信号的值设,利用线性预测分析获得倒谱系数。(Linear Prediction Cepstrum Coefficient)