There are several types of skin diseases, to protect and keep them healthy from these ailments; an effective and efficient diagnosis is required. One of the domains used by medical experts to diagnose severe class of skin disease is medical imaging. It is non-invasive way of diagnosis in which screen of the abnormal region performs first and then the dermatologist examines the subcutaneous structure and forecasts the severity of the lesion.

In this review article authors are trying to put light on text to speech synthesis of Assamese language using unit selection concatenative speech synthesis technique. Assamese is one of the North East Indian languages spoken by millions of people. This article tries to highlight some major difficulties when developing the synthesizer. The speech units used to concatenate for building the synthesizer is syllable. Assamese is a syllable centric language and syllable based concatenation gives more natural sound. A discussion is done with phoneme and diphone units as well. There is also a short overview on development process of the Assamese synthesizer on festival framework as a part of review. Another challenging task the researchers dealt with is building speech corpus for a low resource language like Assamese.