Introduce pattern recognition for speech technology

Pattern recognition is one of topic in machine learning and as baseline for speech recognition. In general, we can construct speech recognition system in the following figure:

From human speech, we should convert it into digital form, called discrete data. Some signal processing methods are applied to handle pre-processing such as removing noise from data.

Now in pattern recognition we do perform speech recognition method. Researchers did some approaches such as computing using Hidden Markov Model (HMM) to identity sound related to word. Performing feature extraction in speech digital data is a part of pattern recognition activities. The output will be used as input in pattern recognition input.

The output of pattern recognition can be applied as Speech-to-Text and Speech command on our IoT projects.