搜索资源列表
CFDerb
- 复倒谱域滤波去除信号混响成分。利用复倒谱域变换与复倒谱滤波的方式去除单通道语音信号中的混响成分，提高语音质量。-Complex cepstrum domain filtering to remove the reverberation signal component. Using complex cepstrum and complex cepstrum domain transform filter Wave way to remove single-channel voice sign
LPC-speech
- 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.
cepstrum
- 实现读入一段语音，并求出这段语音的倒谱，绘出波形图。-Realize read in a speech, and work out a speech cepstrum, draw waveform figure.
pitchdetect
- 利用求语音信号倒谱的方法，对语音信号进行基音检测，并绘制出波形图。-Use for speech signal spectrum method of fall, the speech signal pitch detection, and rendering the waveform figure.
frequency-domain
- 语音信号的频域分析，包括短时谱，倒谱，LPC谱的程序，以及端点检测的程序-Voice signals in the frequency domain analysis, including short-time spectrum, cepstrum, LPC spectrum procedures, as well as the endpoint detection procedures
LPMCC-Speach-Emotion-Recognition
- 基于LPMCC的语音识别系统实现 语音识别可实现人机交互和语音控制，在X-业控制、消费电子等领域都有广泛应用。结合人发音的生理 结构的特点，使用LPMCC(LPC倒谱美尔变换)作为特征向量，采用动态规划算法作为核心识别算法，在TMS320VC5402芯片上实现了特定人、孤立词的高性能实时识别系统。-Speech Recognition System Based On LPMCC Speech recognition can achieve human—computer intera
34617501LPCMCC
- 基于倒谱特征的说话人识别技术 提取语音的倒谱特征进行说话人识别-based Cepstral Speaker voice recognition technology from the Cepstral for Speaker Recognition
yuyin
- 语音信号处理，短时能量，过零率，倒谱法求基因周期，共振峰-Speech signal processing, short-term energy, zero crossing rate, cepstral Method genetic cycle, formant
chapter5_2
- 同样利用我到北京区为例，用倒谱法求这句语音的基因周期-Also use me to the District, Beijing, for example, cepstrum and the phrase Voice genes cycle
speech
- 包含语音端点检测，lpc倒谱系数，durbin算法，mel倒谱系数以及复倒谱系数。-Contains the speech endpoint detection, the lpc cepstrum coefficients, durbin algorithm, mel cepstral coefficients and the complex cepstrum coefficients.
MATLAB
- 该程序可以用于语音信号的倒谱运算，其他一维信号也适用-The program can be used for speech signal cepstrum computing also applies to other one-dimensional signal
bCepstrum-basa
- 一种基于倒谱特征的带噪语音音端点检测.rar格式为ｖｉｐ -Based on Cepstrum for Noisy Speech audio endpoint detection. Rar format for vip
LCallculate__P
- LPC美尔倒谱特征的C源程序源码这是我根据赵力那本“语音信号处理”后面的源代码写的LPC美尔倒谱特征的的C源代码，基本上没做什么修改，需要的朋友就能不用自己再录入了。程序源码调试通过，能直接用。 -LPC Mel Cepstrum C source code which is according to Zhao Li, the speech signal processing, " the source code behind write the LPC Mel cepstrum
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
Fmelmfccr
- 从说话人的语音信号中提取说话人的个性特征是声纹识别的的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -Extracted from the speaker' s voice signal in the speaker' s personality is the key to the voiceprint identification. Introduces the speech signal feature extraction method in Mel cepstra
MFCC-extration
- 提取MFCC，即美尔倒谱系数，作为语音识别与合成必须的特征向量-Extract MFCC, Mel cepstral coefficients, as voice recognition and synthesis must eigenvectors
mfcc
- 语音识别中抽取语音的特征参数：倒谱系数 在语音识别中的语音参数提取中，这个参数一般是最常用的-abstract the MFCC when using voice recongizing
dpfx
- 利用matlab实现语音信号的倒谱分析,通过观察仿真，可以看出倒谱函数的频谱特性。-Matlab voice signal cepstrum analysis, simulation, can be seen by observing the spectral properties of the function cepstrum.
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
Voice_Pitch_Detection
- 采用自相关法与倒谱法实现语音基音频率检测，将检测到的基音频率以帧为单位画出来。-An Autocorrelation-Based Pitch Estimator,Pitch Detection in the Spectral Domain