SpecSubTD_Boll79

文中研究了6种常用数字调制信号识别的特征参数集，并采用决策树判别方法进行分类识别。仿真结果表明，在SNR≥5dB时，识别正确率在99 以上，且当SNR≥20dB时，识别正确率达到100 。其特点是，算法简单，识别正确率高，达到了自动分类识别的目的，并有利于实现识别的实时化。(In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulation signal recognition, and decision tree method for classification. The simulation results show that SNR 鈮� 5dB, the correct rate more than 99 , and when SNR 鈮� 20dB, the correct rate of 100 . Which is characterized by simple algorithm to identify the correct rate, to achieve the purpose of automatic classification and recognition, and help to identify real-time.)

对一段语音进行变速变调等多种处理的MATLAB样例程序。(Variable-speed modulation of a variety of voice processing sample MATLAB program.)

模拟实验-C#版基于二分查找的稳定“插入排序”算法(Simulation experiment-stable insert sort algorithm based on dichotomous search in C # version)

利用自适应滤波器对心音信号进行预测，包括了LMS算法，归一化LMS，变步长LMS和RLS算法，其中RLS的预测效果最好.(Heart sound signals using adaptive filter to predict, including the LMS algorithm, the normalized LMS, variable step size LMS and RLS algorithm, in which the best forecast of RLS.)

语音库开发工具源码，例程程序创建机读SAPI.SpVoice对象开发语音库。(Speech development tools source , routine program to create machine-readable SAPI.SpVoice speech object development .)

这是我的毕业设计的完整程序，非常有参考价值，包括数据，预处理，训练，识别，包括眼马尔科夫模型和神级网络，马上毕业了，传上做个纪念(This is my graduation project of the complete program is very valuable, including data, preprocessing, training, recognition, including the eye-level Markov model and the God of the network, once graduated, to be a memorial mass on )

用自相关函数提取语音信号基频，提取音频文件的基频等高线(Use the autocorrelation function on segments of the signal (windowsize: 100ms) and compute the fundamental frequency. Use a max_time_lag of 100ms in the autocorrelation function and a window shift of 25ms. Create a fundamental frequency vector and plot the pitch contour.)

关于希尔伯特黄频谱的计算程序，提取的频谱信息可用于语音识别、故障检测等。(on Hilbert Huang spectrum calculation procedures to extract information of the spectrum can be used for voice recognition, fault detection.)

利用GMM训练模型，并用于说话人识别等相关领域，有不错的效果(GMM apply for text to speech)

这是科大讯飞的IOS开发文档，可合成语音，可语音识别(MSC Develop Manual for iOS)