搜索资源列表
disizu
- 实现信号的频谱分析，倒谱分析，FFT分析，白噪声序列分析-For signal spectrum analysis, cepstrum analysis, FFT analysis, white noise sequence analysis
MFCC-
- 展示了MFCC倒谱参数在语音识别和 声调识别中的作用-Shows the MFCC cepstrum parameters in speech recognition and tone recognition of the role
Cepstrumimprove
- 关于基音周期的提取，倒谱法的改进，利用预测余量-On the pitch period extraction, improved cepstrum method, the use of margin forecast
SSP-Toolkit
- sound toolkit fft, cepstrum, dtw recognition
mfccccc
- 梅尔倒频谱，语音识别的相关代码，以及相关注释-Mel cepstrum, speech recognition-related code, and related notes
cepst
- 本程序组提供了用倒谱方法来提取语音信号的基音-This program group provides a way to extract using cepstrum pitch of speech signals
03_mfcc
- Speech Technology: A Practical Introduction Topic: Spectrogram, Cepstrum and Mel-Frequency Analysis Kishore Prahallad Email: skishore@cs.cmu.edu Carnegie Mellon University & International Institute of Information Technology Hyderabad
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
exam
- for find cepstrum analys in matlap use this function
computeMelSpectrum
- This source code calculates mel cepstrum coefficients for automatic speaker recognition system.
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.
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
matlab-code
- 信号处理，数据录入，傅里叶变换，计算频谱及倒谱！-Signal processing, computing the spectrum and cepstrum
shuiyin
- 倒谱域数字音频水印嵌入和提取,matlab基于倒谱域的数字变换-Cepstrum domain digital audio watermark embedding and extraction
LPCAUTO
- LPC倒谱系数提取，提取出来的LPC倒谱系数可以线性预测，帮助语音信号处理-LPC cepstral coefficients the number of extraction，Extracted from the LPC cepstrum coefficients linear prediction to help the speech signal processing
chapter5_1
- 在普通室内环境下录制‘我到北京去’，采样频率为8k用matlab分析这句话的倒谱-Recorded in the general indoor environment ' I went to Beijing' , the sampling frequency for the 8k cepstrum analysis of this sentence, with matlab
ARMAandmatlab
- ARMA模型在matlab中的实现，This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros) -The realization of the ARMA model in matlab，This functio
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.
A_Normal1
- 用matlab编写的深沟球滚动轴承在正常情况下的具体数据分析，分析了该信号的时域、频域、倒谱，循环谱等-Deep groove ball rolling bearings using matlab in normal circumstances, the specific data analysis, analysis of the signals in time domain, frequency domain, cepstrum, the cyclic spectrum
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