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MAIA (MyApp Intelligence Artificial) is designed to provide a foundation for building your own voice-controlled assistant with Python. It uses various libraries and modules for speech recognition, text-to-speech synthesis, and custom functionality.

Note about this image This image contains a system based on Linux MX, which was created to improve accessibility within the Linux environment. The distribution uses the Cinnamon desktop interface, which is configured to be operated using voice commands and outputs. The user interface and the control of your own devices and home automation systems can be customized and extended. The voice control program MiceStTM.py was developed to enable easy adaptation to other languages. However, only...

This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.

This simple pygtk application uses ffmpeg and arecord; to record sound Google's unofficial text to speech service; to convert sound to text The python subprocess module to run the text as a shell command. The text to speech service used by this application is unofficial, and this program should therefore be considered a complete hack.

The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.

Graphical User Interface and advanced facilities for training the speech recognition system Sphinx-III (using SphinxTrain).