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Continuous Density Hidden Markov Model (CDHMM) Training a hidden Markov model through expectation-maximization, using Baum-Welch formulae, for applications in speech recognition

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Speech Recognition with Continious Density Hidden Markov Modells

C++ License

Gaussian mixture continuous-density hidden Markov models (CDHMMs) for speech recognition.

Structure

├── CMakeLists.txt
├── app
│   ├── CMakesLists.txt
│   └── main.cpp
├── benchmarks
│   ├── CMakesLists.txt
│   └── main.cpp
├── docs
├── ├── Doxyfile
│   └── html/
├── external
│   ├── CMakesLists.txt
│   ├── ...
│   └── ...
├── include
│   ├── AlgorithmArray.hpp
│   ├── CDHMM.hpp
│   ├── DataHandler.hpp
│   ├── DynamicArray.hpp
│   ├── GMM.hpp
│   ├── Kmenas.hpp
│   ├── Matrix.hpp
│   ├── MFCC.hpp
│   ├── Timer.hpp
│   ├── WAV.hpp
│   └── ProjectConfig.h.in
├── recog
│   └── .wav-Files
├── src
│   ├── CMakesLists.txt
│   ├── DataHandler.cpp
│   └── my_lib.cc
└── tests
│   ├── CMakeLists.txt
│   └── main.cpp
├── train
│   └── .wav-Files

Software Requirements

  • CMake 3.14+
  • Code Covergae (only on GNU|Clang): lcov, gcovr

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Continuous Density Hidden Markov Model (CDHMM) Training a hidden Markov model through expectation-maximization, using Baum-Welch formulae, for applications in speech recognition

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