This projects aims to develop a Speech Recognizer that can understand the spoken units (characters, words and sentences) uttered in the context of Bangla Language. We used Hidden Markov Model (HMM) technique for pattern classification and also incorporate stochastic language model with the recognizer. Hidden Markov Model Toolkit (HTK) is used to develop and implement the Speech Recognizer.

Prerequisites::

To run the demo applications available to download the perquisites are:
1. HTK Speech Recognition Toolkit (HTK 3.3)
2. Microsoft .NET Framework Version 2.0 Redistributable Package (x86)