Search - short time autocorrelation matlab

Search - short time autocorrelation matlab - List

[Speech/Voice recognition/combine] traitementduson DL : 0: Speech analysis and parameter extraction Short-term analysis, frames and windows Time-domain analysis: energy, zero-crossings, statistic parameters, autocorrelation Frequency-domain analysis: spectra and spectrograms Cepstral analysis Linear prediction analysis Pitch and formant estimation to run the application please tape menu
Date : 2025-12-21 Size : 2.12mb User : 栗子
[Speech/Voice recognition/combine] yuyinxinhaochuli DL : 0: 本实验要求掌握时域特征分析原理，并利用已学知识，编写程序求解语音信号的短时过零率、短时能量、短时自相关特征，分析实验结果，并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。基于MATLAB的语音信号时域特征分析-In this study, the analysis required to master the principles of time-domain characteristics, and use the learned knowledge to write programs to solve short-time speech signal zero-crossing rate, short-time energy, short-term autocorrelation features, analysis of the experimental results, and can grasp the time domain by means of analytical methods pitch the determined parameter analysis of the speech signal and formant. Based on time-domain characteristics of the speech signal analysis MATLAB
Date : 2025-12-21 Size : 96kb User : 田飞
[Speech/Voice recognition/combine] matlab DL : 0: 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(The short-time analysis of speech signal mainly includes: frame, short-time energy, short time average amplitude, short-time zero crossing rate, short-time autocorrelation function, short-time amplitude difference, cepstrum, complex cepstrum, LPC coefficient, LPC spectrum estimation, etc.)
Date : 2025-12-21 Size : 6kb User : hdtvdhvdhbxshvvjhuxd
[Speech/Voice recognition/combine] audio_tezheng DL : 0: 语音信号的时域、频域与倒谱域分析。 1.分析一帧清音和浊音的自相关函数和倒谱系数 2.用Matlab画出该段语音的时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率 3.选择一帧无声、清音和浊音的语音，用Matlab画出它们的对数幅度谱(Time domain, frequency domain and cepstrum domain analysis of speech signals. 1. Analyze the autocorrelation function and cepstrum coefficient of unvoiced and voiced sounds 2. Use Matlab to plot the time domain waveform of the speech segment, short-term energy, short-term average amplitude, short-term zero-crossing rate, and short-term overshoot ratio. 3. Select an unvoiced, unvoiced, and voiced sound and use Matlab to plot its logarithmic amplitude spectrum)
Date : 2025-12-21 Size : 143kb User : jacek