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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.
yuyin
- 语音的预处理，加汉明窗，短时平均能量和过零率-Pretreatment of speech, Hamming window, the average short-term energy and zero rate
silence-detection
- 结合短时平均幅度值和短时过零率实现静音检测，检测效果非常好。- Detection the silence combined with short-term average value and achieve zero rate, detection result is very good.
speech-analysis
- 对语音进行分析，包括时域分析（包括能量、过零率、互相关函数）和频域分析（包括fft变换、倒谱、LPC）-Speech analysis, including time domain analysis (including energy, zero-crossing rate, the cross-correlation function) and frequency domain analysis (including fft transform, cepstrum, LPC)
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
Voice-signal-pre-processing
- 语音识别前期处理代码，包括语音信号预处理，预加重，加窗分帧，短时能量及短时平均幅度分析，短时平均过零率，短时自相关分析，短时平均幅度差函数。-Speech recognition pre-processing code, including voice signal pre-processing, pre-emphasis, windowing sub-frame, and the short-term average short-term energy analysis, the averag
ss
- 进行语音信号的切分处理，处理切分方法是根据短时能量和短时过零率进行的- ON划词翻译ON实时翻译 Segmentation of speech signal processing, segmentation method is based on short-time energy and short-time zero crossing rate of
MFCC
- 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
vad
- 基于短时能量和短时平均过零率的端点检 -Based on the average short-term energy and zero-rate short-term endpoint detection
yuyinxinhaochuli
- 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
seismic-signal-procesing
- 震动信号的预警和过零率计算，需要有自己的原始震动信号-seismic signal processing zero_-pass rate
zcrr
- 用于计算语音信号过零率的函数zcrr，zcrr（x，a，b，i），x为输入，a，b，c为指定subplot函数的参数-Function zcrr for calculating zero-crossing rate of the speech signal, zcrr (x, a, b, i), x is the input, a, b, c as a function of the parameter specifies subplot
vad
- 基于matlab的语音端点检测源码，采用短时能量短时过零率的端点检测，检测效果良好，亲测可用-Based on endpoint detection matlab source code, using short-term energy endpoint detection Short-term zero rate detection works well, pro-test available
timedomaincharactersticsanalysis
- 设计一个简单的GUI界面，对导入的音频文件进行时域特性分析。计算其时域波形、平均幅度、短时能量、短时过零率。对该音频文件进行加噪处理，分析其时域波形变化。设定一个固定时长，对该音频添加回声并保存为“*.wav”格式文件。 对音频文件的时域分析是对音频文件进行传输、降噪及其他再编辑的基础。其中短时能量可用作清浊音区分的标准和语音起始点的判断。短时过零率可用作判断有声段与无声段和从背景噪声中提取语音信号。 -Design a simple GUI interface that time
1540
- 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
duanshiguolinglv
- 求语音信号的短时能量 短时过零率 和 自相关的一段MATLAB程序-Speech signal short-term energy demand short-term zero rate and autocorrelation period MATLAB program
codeone
- 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
code33
- 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
m_vgixuf
- 用MATLAB编写的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、temp函数、短时幅度差、倒谱、复倒谱temp1系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate, temp f