Implementation of translation system using embedded platform

This paper proposes language recognition system from speech. The easiest way to controlling device is through human voice. Existing products for language recognition system are very expensive. Language is recognition through speech using HMM model. This system is based on internet of thing, where Google API for language recognition through speech. HMM model is take care by Google API. Recognition language will result as a text format. Simulation is done through Linux Os. Next development in this system itself is recognition language will translate to another language. This modification is done through another API. After modification will get result as a text, if possible through speaker.