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对语音信号的短时分析
- 用matlab实现对语音信号的短时分析，包括清音和浊音的判决，基音周期的估计，实验报告。-to realize the analysis of short time of speech signal by Matlab, including the judgement of surd and sonant, the estimate of the pitch and experiment report.
linjiedai
- 语音的短时谱的临界带特征矢量,从人耳对频率高低的非线性心理感觉角度反映了语音短时谱的特征.-voice spectrum with the critical feature vector, From ear to the level of the nonlinear frequency psychological sense approach reflects the short-term speech spectrum characteristics.
yy
- 基于matlab语音短时频谱分析，到谱分析，语谱图分析及结果
检测语音信号
- 语音的端点检测要用短时平均能量来检测 语音特征的提取要用13阶的lpc 模式匹配要用欧氏距离。
语音信号的短时分析
- 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
语音短时能量程序
- 语音短时能量作为语音的特征非常重要
zcrate
- 计算语音信号的短时能量和过零率 使用三电平削波来平整信号-Calculate short-time speech signal energy and zero crossing rate using the three-level clipping to smooth the signal
yuyinxinhaojiance
- 基于MATLAB的语音信号端点检测，短时能量分析，短时过零率，和GUI界面实现-aaaaa
a_modified_method
- 介绍了改进谱减法的原理及算法。提出在信噪比(sNR)较低的情况下，根据语音短时能量和过零率，判断在无声 或有声期间是否偶然的噪声过高，从而设定合适的参数降低噪声。-Introduced an improved spectral subtraction principles and algorithms. Proposed signal to noise ratio (sNR) lower case, according to voice short-term energy and zero-cr
vad
- 这个内容主要是用于语音的读取、端点检测。端点检测采用的是基于短时能量和过零率，里面包含测试程序。-vad
voicebox
- 利用矩形窗计算短时语音信号的短时能量 及其频谱特性-Calculated using a rectangular window short-time speech signal power and spectral characteristics of short-term
Some_function_of_speech_signal_processing
- 语音信号处理的一些函数，包括：短时谱、短时能量、短时过零率和端点检测。-Some of voice signal processing functions, including: short-term spectrum, short-term energy, short-time zero crossing rate and endpoint detection.
语音信号处理
- 采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量，短时过零以及短时自相关函数分析和频域的傅里叶变换，功率谱估计，短时傅里叶变换，小波分析，语音信号的短时综合，语谱图各种分析，充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time dom
短时能量
- 用于语音分析与合成，读入语音文件中的数据，计算短时能量(Used for speech analysis and synthesis, reads data into speech files, calculates short-time energy)
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
短时能量whut
- 用于查看语音信号短时能量图谱的代码，有结果显示(A short time energy map for a voice signal)
语音信号处理实验
- 对语音信号处理的基本操作，求功率谱 短时过零 短时傅里叶变换 分帧 加窗等等(The basic processing of speech signal with MATLAB)
短时平均过零率
- 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.)
短时功率谱密度
- 语音信号是一个非平稳时变的信号，所以用计算稳态信号的方法计算功率谱密度函数没有太大意义，看不出信号的动态变化，"gonglvpu"给出计算短时功率谱密度函数(Speech signal is a non-stationary time-varying signal, so it is not very meaningful to calculate the power spectral density function by calculating the steady-st