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Project_reference.rar
- 有关语音增强 LPC 倒谱分析 去噪的matlab程序,Speech enhancement of the LPC cepstrum analysis matlab denoising procedures
daopu
- 语音前期处理 对采集输入的语音信号进行倒谱分析-Pre-processing of the collected voice input voice signal cepstrum analysis
pitch
- 采用倒谱分析进行基因检测，程序内有详细的标注。-Cepstrum analysis using genetic testing, procedures detailed within the mark.
yuyinpinpufenxi
- 本语音频谱分析程序对三个重要的谱（即短时谱、倒谱和LPC谱）分别做了仿真分析，这样为以后进一步研究语音打下了基础。-The voice spectrum analysis program three important spectrum (ie short-term spectrum, cepstrum and LPC spectrum) is simulated separately, so that voice for the future foundation for further st
abc
- 语音处理技术中用倒谱分析来求基音周期，为后续处理打下基础-Cepstral voice processing technology used to find pitch period analysis, laying a foundation for the subsequent treatment
Speech-signal-short-time-analysis
- 详细说明：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 绝对保证质量，是保研后导师布置的一些基础程序-Details: short-time speech signal analysis, including: framing, short-term energy, short-term average rate, short-time zero crossing rate, short-time a
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
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
w000
- 对表面肌电信号的分析处理的Matlab程序，包括：求频谱、倒谱、功率谱和中值频率等。-Surface EMG signal analysis and processing in Matlab, including: the demand spectrum, cepstrum, power spectrum and the median frequency.
exp2
- 录制汉语拼音 a1（阴平）的发音。分别提交你所能录制的基音频率最高和最低的两个 录音文件。文件名为: 学号_a_h.wav（高音文件）和学号_a_l.wav（低音文件）。（用MathLab 编程） 1）分别对这两个文件进行观察分析。找出最高和最低基音频率位置，分别显示此时它们的 局部波形和短时频谱（按照最大值为100 归一化显示）。 要求：在时域波形上标出基音周期，并算出数值（精确到一个采样点）。在频域图上标出 基音频率。注意：标出分析波形的起始位置（精确到采样点位置），
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
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
m_vgixuf
- 用MATLAB编写的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、temp函数、短时幅度差、倒谱、复倒谱temp1系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate, temp f
m_x4695j
- 用MATLAB编写的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、 Swjqlf函数、短时幅度差、倒谱、复倒谱 mSfcKbB系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,S
m_xs6wyo
- 用MATLAB编写的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、 KPuiyk函数、短时幅度差、倒谱、复倒谱 rbUgYfE系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,K
m_yr57ye
- 用MATLAB编写的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、 olpjad函数、短时幅度差、倒谱、复倒谱 OkrzXPY系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,o
m_zl0rd0
- 用MATLAB编写的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、 sbdFHh函数、短时幅度差、倒谱、复倒谱 aPdzNNR系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,s
cepstrum
- 在同态系统中，对信号进行倒谱分析,采样频率为8Khz-In the same state system, the signal cepstrum analysis, the sampling frequency is 8Khz
倒频谱
- 用于齿轮信号的倒频谱分析，程序是通的，只需修改数据文件就可以。(Cepstrum analysis for gear signal,it is through,only the data files can be modified.)