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YUYINXINHAO
- MATLAB编程实现语音信号的时域特征提取，如分帧、过零率、短时能量、语谱图等-Speech signal feature extraction
voice_activity_detection
- 传统的有声无声检测方法只能在相对安静的环境下（<20dB）进行。因此传统方法不能满足噪声环境下的检测要求；另一方面，一直以来，单通道语音增强没有取得突破性进展，一个很重要的原因是没有找到高效的有声无声检测方法。研究了一种有声/无声检测算法是根据信号低频带、高频带短时能量包络的动态变化范围来判别噪声和含噪语音。对每一帧输入信号，通过与预先设定的一系列门限值比较来判断该帧是信号帧还是噪声帧。本设计使用了这种检测方法，选用北京瑞泰创新科技有限公司开发CETECK-VC33-D板，配合自己制作的前
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- 编制LBG算法程序，以语音信号的短时平均能量为例，训练一个5比特码书，并给出量化器的失真特性。-Procedures for the preparation of LBG algorithm to short-time average energy of speech signals, for example, training for a 5-bit code book, and gives quantizer distortion characteristics.
mian
- 语音信号的时域分析，有短时能量，短时平均幅度，短时过零率，清音自相关序列，浊音自相关序列，傅里叶分析。-Speech signal time-domain analysis, short-time energy, short-term average, short-term zero-crossing rate, voiceless autocorrelation sequence, voiced autocorrelation sequence, Fourier analysis.
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
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
zttj
- 训练语音和静音状态下短时平均能量的高斯模型，再通过统计方法来判断信号是语音还是静音-Training of voice and mute state gaussian model of short time average energy, again through the statistical method to determine the signal is a voice or a mute
edp
- 语音信号的是与分析 有短时能量短时过零等分析-Speech signal analysis There is a short energy short-time zero crossing analysis, etc
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- 输入一段语音信号后能够计算语音信号的短时能量，并画出其图形-Enter a voice signal can be calculated short-term energy of the speech signal, and draw its graphics
yuyinxinhao
- 语音信号处理代码：计算短时平均能量、功率谱、短时傅里叶变换-Speech Signal Processing Code: Calculate the short-term average power, power spectrum, short-time Fourier transform
frame-speech
- 这是一个matlab程序，该程序的功能是读取一个 .wav 格式的语音信号，画出该语音信号的短时能量。主程序调用了自己编写的两个函数，函数的功能分别是对语音信号进行分帧以及计算每一帧的时间。语音分帧是语音信号处理的关键步骤，该程序可以帮助你快速入门。-This is a matlab program, the function of the program is to read a ' .wav' voice signal format, draw short-term energ
en
- 语音信号的时域和频域处理，包括各种参数，短时能量、短时平均过零率等-The time and frequency domain of the speech signal, including various parameters, short-term energy, short-term average zero-crossing rate, etc.
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)
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)
bin
- MATLAB语音信号短时分析，包括自相关，能量谱，过零率等(Short time analysis of MATLAB speech signals, including autocorrelation, energy spectrum, zero crossing rate, etc.)