搜索资源列表
Hidden_Markov_model_for_automatic_speech_recogniti
- Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner
speech-recognize-HMM-CPP
- 在语音识别中，用隐马尔科夫模型（HMM）进行训练，用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++
code
- This course describes the AI techniques necessary for an agent to act intelligently in the ``real world. Techniques include natural language processing, uncertainty reasoning, learning, vision and speech processing. Basic AI techniques (such as searc
e33bf549ecd4
- 语音识别源代码，包括c++和matlab.解决你的后顾之忧。-Speech recognition source code, including c++ and matlab
Single-objective-GA-code-in-C
- 遗传算法，适用于单目标的优化情况，C语音编写-Genetic algorithms for optimization case of a single goal, C prepared speech