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语音参数短时能量，短时过零率，短时平均幅度，语音端点检测，fft变换与反变换-Voice parameters of short-time energy, short-time zero-crossing rate, short-term average rate, voice activity detection, fft transform and inverse transform
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利用短时平均能量和短时平均过零率，对语音信号进行端点检测-Average energy use of short-term and short-time average zero-crossing rate, speech endpoint detection signal
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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-Time-domain waveform, short-term energy, short-term average rate, short-term zero crossing rate, short-term rates over Level
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个人编写的提取音频信号的时域特征参数短时平均过零率及短时平均能量的matlab源程序。供大家参考-Extraction of individual preparation of the audio signal in time domain characteristic parameters of short-term average of zero-crossing rate and short-time average energy of the matlab source. For you
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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
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可进行短时平均能量，短时平均幅度，短时平均过零率，短时自相光，短时傅里叶变换的函数,使用方便，-The average energy can be short-term, short-term average rate, the average short-term zero-crossing rate, short-term autocorrelation of light, short-time Fourier transform of the function, easy to use,
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完成对一段语音信号的短时分析，语音信号要包括清音、浊音和无声段，求其短时平均能量、短时平均过零率、短时自相关函数和短时功率谱；-Complete short-term analysis of a voice signal, the specific requirements: a voice signal to include the voiceless, voiced, and silent segments 2, find its short-term average energy, sh
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该程序将短时过零率与平均幅度两种方法相结合求取振动信号的起始点，是学习语音信号处理的好材料-The program will be a combination of short-time zero crossing rate and average amplitude are two ways to strike the starting point of the vibration signal is a good material for learning speech signal pro
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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
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基于MATLAB用于检测提取的语音信号的平均短时过零率的算法，可以方便的检测出是清音还是浊音。-Algorithm based on the MATLAB for detecting extracted speech signal average short-term zero-crossing rate, you can easily detect the voiceless or voiced.
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基于Matlab的语音信号的时域分析，包括短时平均能量，短时平均过零率，短时自相关系数，短时平均幅度-Based on Matlab speech signal time-domain analysis, including short-term average energy, short-time average zero-crossing rate, short-term autocorrelation coefficient, the short-term average
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语音信号的时域分析，有短时能量，短时平均幅度，短时过零率，清音自相关序列，浊音自相关序列，傅里叶分析。-Speech signal time-domain analysis, short-time energy, short-term average, short-term zero-crossing rate, voiceless autocorrelation sequence, voiced autocorrelation sequence, Fourier analysis.
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语音参数提取：短时过零率、短时能量、短时平均幅度、自相关序列、傅里叶分析-Speech parameters extraction: short-time zero-crossing rate, short-time energy, short-term average autocorrelation sequence, Fourier analysis
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语音信号处理，含短时平均过零率、短时平均能量和短时平均幅度等的求解.
-Speech signal processing, including short-time average zero-crossing rate, short-term average energy and short-term average of solving.
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只是一个关于短时平均过零率的matlab代码-Just a short-time average zero-crossing rate on the matlab code
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语音信号的时域、频域分析,包括短时能量分析、短时平均过零率、自相关函数、短时平均幅度差函数等。-Time-domain speech signal, frequency domain analysis, including short-term energy analysis, the average short-term zero-crossing rate, autocorrelation function, such as short-time average magnitude diff
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1.短时能量2．短时平均过零率3、短时自相关函数4.基音周期-1. The short-term energy 2. 3 short-time average zero-crossing rate, short-term autocorrelation function 4. Pitch
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本压缩包是对语音信号的短时分析，包含短时能量、短时过零率、短时自相关以及短时平均幅度差等函数-The compressed package is a short-term analysis of the speech signal, comprising short-time energy, short-term zero-crossing rate, short-term as well as short-time average magnitude of the autocorrelatio
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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 functio
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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 c
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