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5
- 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.
shortpower
- 本代码主要讨论了不同窗口形状和窗长的条件下，语音信号短时平均能量发生的不同变化，并根据具体实验对变化结果进行了初步验证-the effect of differernt windows for short power
Efficient-LSP-quantization-algorithm
- 为在极低速率下实现高质量的语音编码,提出了一 种新的有效的线谱对( LSP)参数量化算法——P-RS- MSM Q 算法。此算法以多帧联合矩阵量化作为基本框架,引入了基 于超级帧模式的均值去除和帧间预测策略、 矩阵分裂和子矩 阵多级量化策略 同时提出了基于语音帧短时谱能量的帧 内加权和基于超级帧中各子帧重要性的帧间加权策略等。-Very low rates in high-quality speech coding, a new and effective LSP (LSP)
package
- 可进行短时平均能量，短时平均幅度，短时平均过零率，短时自相光，短时傅里叶变换的函数,使用方便，-The average energy can be short-term, short-term average rate, the average short-term zero-crossing rate, short-term autocorrelation of light, short-time Fourier transform of the function, easy to use,
my_STFT
- STFT短时傅里叶分析，可以用于分析信噪比比较低的情况下的新号能量。-STFT short time flourier
recognition
- 本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化
duandianjiance
- 利用短时平均能量和平均过零率相结合的方法，实现端点检测的一种方法。-Use short average energy and average zero rate combination of methods, realize the endpoint detection a method.
short-term-analysis-
- 完成对一段语音信号的短时分析，语音信号要包括清音、浊音和无声段，求其短时平均能量、短时平均过零率、短时自相关函数和短时功率谱；-Complete short-term analysis of a voice signal, the specific requirements: a voice signal to include the voiceless, voiced, and silent segments 2, find its short-term average energy, sh
audio_process
- 适合初学者的wav格式音频文件短时过零率、能量计算VC++程序，完整工程。可以直接编译、调试、运行-suit for fresh people. Wav audio file process Visual studio whole project.
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.
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
win_endcut
- 基于短时窗能量的自适应语言端点检测程序。具有一定的抗噪声能力。输入WAV文件名，输出端点检测结果，包括数据和画图显示。-Adaptive voice activitie detection program，resistant to noice .Input with the name of wave file,output with the VAD result ,including data and figure display.
YINPIN12.RAR
- 实验前自己用Cool Edit音频编辑软件录制声音“我到北京去”，并把它保存为.txt文件。 编程实现不同矩形窗长N=50、100、200、800的短时平均能量。 用Matlab画出不同窗长的短时平均能量的图形。 -Before the experiment they used Cool Edit audio editing software, record sound, "I go to Beijing," and save it as a. Txt file.
MATLAB
- 梅尔频率倒谱(Mel-Frequency Cepstrum)是一段声音的短时功率谱，基于频率的非线性梅尔刻度(mel scale)的对数能量频谱的线性预先变换- the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonline
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
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
short-energy
- 语音信号分帧后，计算每帧信号的短时平均能量-After the speech signal is framed, the short-term average energy of each frame signal is calculated
Vector-quantization
- （1）理解矢量量化的基本原理。 （2）掌握矢量量化器设计的LBG方法。 （3）运用LBG方法获取语音短时平均能量码书-(1) to understand the basic principles of vector quantization. (2) master the vector quantizer design LBG method. (3) Using the LBG method to obtain the speech short time average ener