搜索资源列表
exp_001
- 自己用VC编写的一个读取wave文件，并计算短时能量、短时过零率以及自相关函数的程序。所有的计算结果都会显示在程序运行后生成的文本文档中。注意，运行程序时需要修改wave文件路径，在程序中体现为wavefilename字符串指针所指向的内容。-own VC prepared a document reader wave and short-term energy calculation, Short-term rates and zero autocorrelation function pro
VSP_SE
- 自己编写的一个VC++程序，打开可执行程序后可以读取wave文件，此时程序将在客户区绘制波形图；之后可以计算短时能量、短时过零率和自相关函数，并且在客户区依次显示函数图像。-own VC prepared by a procedure to open executable wave after reading documents, this process will draw customers District waveform diagram; after short-term energy
tdpsola
- 此算法是针对语音合成，采用时域的基音同步叠加算法，对波形进行韵律特征提取，修改，以及合成（包括短时能量分析，短时过零率分析等等算法）！算法是用matlab编写的-Speech synthesis, using time-domain synchronous Pitch stack algorithm, rhythm right waveform feature extraction, modification, and synthesis (including short-term energy
endpointvad
- 自已编写的语音信号端点检测程序，采用短时能量与短时过零率的方法。-authorship of the speech signal endpoint detection procedures, using short-term over short-term energy and the rate of zero.
audio64-64
- 基于CCS软件仿真的语音端点检测。采用短时能量和平均过零率。
edgedetect
- MATLAB代码,利用语音信号的短时能量与短时过零率来达到自动检测语音的起止点。效果不错.
Speech_signal_short_time_analysis
- 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
yuyin
- 语音信号的时域处理，有短时能量，短时平均幅度，短时过零率和短时自相关函数。
myexp
- 语音信号处理中语音合成的MATLAB程序。可以对声音文件提取短时能量和短时过零率。
zcr
- matlab实现对声音信号短时能量，短时过零率的计算。
matlab分析语音信号小程序
- 短时能量，短时过零率，清音浊音，基音周期。
MATLAB--Endpoint-Detection-
- 介绍了端点检测的基本方法:基于短时能量的、基于短时过零率的、双门限检测的方法-Describes the basic method of endpoint detection: Based on short-term energy, zero crossing rate based on short-term, double threshold detection method
duandianjiance
- 计算音频文件的过零率、短时能量、端点检测-failed to translate
timeDomainAnalysis
- 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
Short-time-analysis
- 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.
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
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
语音短时能量、平均幅度、平均过零率
- 语音信号MATLAB特征获取，包括语音短时能量、平均幅度、平均过零率(Speech signal MATLAB feature acquisition, including voice short-term energy, average amplitude, average zero crossing rate)
matlab
- 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
vad
- 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.)