搜索资源列表
52_HQ
- 一种关于倒谱的实现研究处理方法的总结以及展望-One kind of research on cepstrum processing method to achieve a summary and outlook
daopu
- 倒谱算法在Labview中实现，很好的一种信号分析方法-Cepstrum algorithm implemented in Labview
tibaoluo
- 基于倒谱短时部分反映了语音的声道特性，先用汉明窗取一帧语音，然后经变换得到语音倒谱，将倒谱短时部分取出，进行正交反变换后将得到声道的对数谱，即得到语音频谱的包络。将频谱包络和频谱画在一张图上，有很好的对比效果。获取的包络效果十分好。-Based Cepstral partly reflects the short channel characteristics of the speech, first take a Hamming window with a frame of speech, a
melcepst
- 计算Mel倒谱系数的matlab程序，非常经典的一个程序。-MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH)
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
wave-Cepstrum
- 一个语音的倒频谱图的分析，有源代码，有图，加一个DCT压缩代码-A voice analysis inverted spectrum, source code, a map, plus a DCT compression code
GUI_matlab
- 实现物种功能的语音处理：倒谱、时域、频谱、语谱图以及功率谱，并加有详尽的注释。另外还可以保存图像，一倍后来研究！matlab ＧＵＩ编程-Voice processing functions to achieve species: cepstrum, time domain, frequency spectrum, spectrogram and power spectrum, and add detailed comments. It also can save the image, doub
untitled
- 图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计-Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation
cepstral_pitch_edit1
- 基于倒谱分析的语音信号基音检测GUI，非常有效-GUI-based voice signal cepstrum pitch detection analysis, very effective
MATLAB
- 梅尔频率倒谱(Mel-Frequency Cepstrum)是一段声音的短时功率谱，基于频率的非线性梅尔刻度(mel scale)的对数能量频谱的线性预先变换- the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonline
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
3MATLABYUYIN
- 3.1语音信号的同态处理和倒谱分析30 3.1.1同态处理的基本原理30 3.1.2复倒谱和倒谱31 3.2离散余弦变换34 3.3Mel频率倒谱系数的分析37 3.3.1Mel滤波器组37 3.3.2MFCC特征参数提取38 3.4小波和小波包变换43 3.4.1小波变换43 3.4.2小波包变换44 3.4.3小波包算法45 3.4.4MATLAB中一维小波和小波包变换函数46 3.4.5MATLAB语音信号小波和小波包变换的例子49 3.
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)
mfcc
- matlab版本，提取语音梅尔频谱倒谱系数（MFCC）特征-Matlab version, Mel frequency cepstrum coefficient（MFCC） feature extraction of speech
stft
- 里面包括短时傅里叶变换谱，倒谱平滑等，这些代码广泛用于，语音说话人识别，语音增强，雷达，声呐，图像等领域-Including short-time Fourier transform spectrum, cepstrum smooth, etc., are widely used in the code, voice speaker recognition, speech enhancement, radar, sonar, image, etc
2007-Thesis-A-Kepstrum-Approach-to-Real-Time-Spee
- A Cepstrum Approach to Real-Time Speech Enhancement
quhunxiangDCT
- 运用复倒谱的方法,对信号进行去混响处理,将混响有效去除,被称为DCT法。-The method of using complex cepstrum of signal dereverberated will effectively remove the reverb, known as DCT method.
DAOPUFA1234
- 较为详细的介绍倒谱法，传统倒谱法以及对倒谱法的改进算法，以及对倒谱法进行MATLAB实验-A detailed introduction of cepstrum method, the traditional cepstrum method, and the cepstrum method of improved algorithm, and MATLAB experiments of cepstrum method
junhengqi
- 本程序是用MATLAB编写的孤立词的语音识别的程序，包含mel倒谱分析以及单个词的语音识别。-This procedure is used to prepare MATLAB isolated word speech recognition procedures, including mel cepstrum analysis, and single-word speech recognition.
voiceinotherdomain
- 语音信号在其他变换域中的分析技术和特性,语音信号的同态处理和倒谱分析,离散余弦变换,小波和小波包变换-Speech signal analysis technologies and features in other transform domain, homomorphic processing voice signals and cepstrum analysis, discrete cosine transform, wavelet and wavelet packet transform