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jiyuduanshinengliangduandianjiace
- 基于短时能量的基音短点检测，有基于短时能量的计算方法、短时过零率，有matlab程序，同事对应word讲解，算法原理图，和算法详细介绍。-Short pitch detection based on short-term energy, based on the calculation method of the short-time energy, short-time zero-crossing rate, matlab program, colleagues corresponding w
recored
- 语音信号的处理，包括录音，短时能量，同态滤波等-Speech signal processing, including recording, short-term energy, homomorphic filtering
time-and-frequency-characteristics
- 语音信号的时域和频域特性，包括录制、计算短时能量、短时过零率、短时傅里叶变换、加矩形窗等步骤-Speech signal in time domain and frequency domain characteristics, including recording, computing time energy, short-time zero-crossing rate, short-time Fourier transform, rectangular windows and other s
duandian
- matlab下的语音端点检测绘制程序，利用短时能量和过零率-Speech endpoint detection matlab under the drawing program
signalPshort-energyPzero-rate
- 采集语音信号，双线性变换法设计低通滤波器对信号滤波，分别运用短时能量和短时过零率方法对语音信号进行处理。-Voice signal acquisition bilinear transform design low-pass filter signal filtering, namely, the use of short-term energy and zero-crossing rate method of voice signal processing.
VoiceUnvoice2
- 使用haar小波进行清音与浊音的分离,使用短时能量-Using Haar Wavelet to seperate voice and unvoice speech signal
duanshinengliang
- 语音识别当中经常用到的语音短时能量分析，短时幅度分析-Among frequently used voice recognition voice short-term energy analysis, analysis of short-term rate
yuyinxinhaochuli
- 语音处理是信号与信息处理的重要内容之一，通过本课程设计，使学生理解数字信号处 理的有关理论和方法在语音处理中的具体应用。课程设计的目的归纳如下： 1、掌握语音信号的特点； 2、掌握语音处理的基本理论和方法； 3、掌握基于Matlab编程实现语音的获取、显示、频谱分析、短时能量、短时自相关以及倒 谱复倒谱的分析方法； 4、掌握语音基音频率及共振峰频率的检测方法。-Signal and speech processing is an important part of inf
enddect
- 语音端点检测实验程序，利用短时能量和过零率检测，具有较高的识别率-Speech Endpoint Detection experimental procedures, the use of short-term energy and zero-crossing rate of detection, has a higher recognition rate
qujingyinchongzu
- 对输入的语音信号运用短时能量函数进行去静音，然后把去掉静音帧之后的信号进行重组。-remove the mute of the speech signal (using short-term energy function), and then remove the signal mute frame after restructuring.
yuyin
- 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
the-basic-analysis-of-speech
- 语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过-time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager
yuyinxuebo
- 利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中-Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the funda
eng2
- 语音信号的短时能量计算，可以计算语音信号的短时能量，在不同窗口形状与长度下-Short-term energy of the speech signal, can calculate the time speech signal energy at different window shapes and lengths
wavenergy
- 画出时间波形，画出短时能量图，给出海宁窗，给出帧长和帧移-Time waveform draw, draw short-term energy diagram given Hanning window given frame size and frame shift
Endpoint-detection
- 基于短时能量与过零率、倒谱特征和谱熵的三种语音端点检测-Endpoint detection
endpoint-detection
- 基于短时能量和短时平均过零率的语音信号的端点检测程序-Endpoint detection procedures based on short-term energy and zero-crossing rate of the average voice signal
endpoint-detection-methods-of-voice
- 判断出语音的端点，基本算法是短时能量和短时过零率双门限算法。-Determine the voice endpoint, the basic algorithm is a short-term energy and zero-crossing rate double threshold algorithm.
dmt
- 基于短时能量和过零率的双门限语音端点检测.选择信号分别为一段女声和一段男声：“今天周一，天气晴朗。”运行结果分别显示两者的短时能量和过零率图，可以用来对比其两者的不同。-Choose based on double threshold voice endpoint detection rate of short-term energy and zero-crossing signals were some female and some male voice: " Today, Mond
spectral-subtraction-algorithm
- 本文首先研究了语音激活检测算法。对基于短时能量和短时过零率双门限法语音激活检测的噪声估计算法做了研究及仿真，同时还研究了一种基于最小子带能量的噪声估计方法。-Firstly, studied voice activity detection algorithms. Based on activity detection and short-term energy zero rate threshold method voice noise estimation algorithm to do t