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MATLAB下实现语音断点的完全仿真，加入了语音能量和过零率的比值一一对应。-MATLAB realization of the complete simulation breakpoint voice, joined the Voice of energy and zero-crossing rate of one-to-one ratio.
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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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语音信号处理的最基本的Maylab处理程序，包括读入语音波形，清音浊音的检测，加窗，过零率，短时能量，基音最大值。最后有test给出演示-Speech Signal Processing Maylab the most basic treatment procedures, including read into the voice waveform, voiceless voiced detection, add windows, zero-crossing rate, short-term
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语音特征提取，如过零率，能量比，短时能量。须导入MAV音频。-Voice feature extraction, such as zero-crossing rate, energy ratio, short-term energy. MAV audio to be imported.
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读取语音文件 进行分帧加窗 及计算语音文件短时能力和过零率。可用于对音乐哼唱检索系统的开发及研究学习。-Voice files to read sub-frame and calculation of windowed audio files and short-term zero-crossing rate. Music can be used to Query by Humming system development and research study.
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端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处
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语音识别，能量计算，过零率检测，发生点检测，用于音符切分-Speech recognition, energy calculation, zero-crossing rate detection, point detection occurs for note segmentation
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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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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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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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端点检测 双门限法 matlab 短时能量 过零率-Endpoint detection dual-threshold MATLAB short-term energy to zero-crossing rate
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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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Computes the zero crossing rate for a speech file
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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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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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