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 (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
Widely known as carputer, this system is designed for:
* calculating speed, fuel consumption, economy driving, e.t.c.
* displaying information about temperatures and controll Air Conditioning system in your car.*
* controlling other devices, like electrically opened windows.*
The system is based on ATMega MCU programmed in C language.