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语音系统的MATLAB仿真，实现断点见的K系数，语音能量与过零率的对比。-MATLAB simulation of voice systems, the realization of a breakpoint, see the K coefficient, voice, energy and zero-crossing rate of the contrast.
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matlab环境下，基于短时能量和过零率的端点检测方法，还有一些小技巧。-matlab environment, based on short-term energy and zero crossing rate of the endpoint detection method, there are some tips.
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关于MATLAB中的语音信号检测程序，基于短时能量和过零率的-The voice on the MATLAB signal detection procedures, based on short-term energy and zero-crossing rate
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matlab写的关于语音信号的时域分析，包括能量，幅度，自相关函数，过零率等的程序-The time domain analysis of speech signal with Matlab, including energy, amplitude, autocorrelation function, and zero crossing rate.
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在matlab环境下编译的语音信号端点检测程序，基于短时能量和过零率的三阀值方法-Voice signal endpoint detection program, compiled under the Matlab environment based on short-term energy and zero crossing rate threshold method
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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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matlab实现的短时过零率，mfcc和lpc源代码语音段都有-matlab to achieve short-term zero crossing rate, mfcc and lpc voice segment has source code
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首先通过手机录制一段名为“yuyin.wav”的语音，然后通过MATLAB编写程序对这段语音进行分析，分别求出这段语音短时能量、短时过零率、短时幅度以及清音和浊音的自相关函数-First phone to record a section called " yuyin.wav" the voice, and then through the MATLAB programming analysis of this voice, this voice were calculated
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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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基于matlab的语音端点检测代码，研究参数短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
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基于matlab的语音端点检测方案设计，主要关于短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
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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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MATLAB上对语音信号基于短时能量和短时过零率的端点检测-MATLAB on the speech signal endpoint detection based on short-term energy and zero-crossing rate
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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 pr
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matlab 语音检测基础工具包，加入路径 方便调用各种函数-The VoiceBox matlab toolbox to deal with short-time zero-crossing rate, etc. to join you can use to download
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Computes the zero crossing rate for a speech file
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MATLAB语音信号短时分析，包括自相关，能量谱，过零率等(Short time analysis of MATLAB speech signals, including autocorrelation, energy spectrum, zero crossing rate, etc.)
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可对一段信号进行分帧加窗，利用过零率和短时能量检测语音端点(It can divide the frame into a window and use the zero crossing rate and short time energy to detect speech endpoints.)
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读取语音文件，预处理，短时能量、过零率分析，进行端点检测(Read voice files, preprocessing, short time energy, zero crossing rate analysis, endpoint detection.)
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读入语音文件bluesky1.wav（内容为“蓝天，白云，碧绿的大海”）中的数据，进行分帧处理，然后计算其短时平均过零率。(Read the data from the voice file bluesky 1. wav (blue sky, white clouds, green sea), frame it, and calculate its short-term average zero-crossing rate.)
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