Speech Recognition refers to the process of converting analog speech signals into text. A lot of work has undergone in this particular field. The complex nature of speech due to its contextual meaning, dialects, accents as well as the environment makes the task of recognizing speech very difficult. A lot of research is currently under progress to increase the accuracy of this system. Although extensive research has been done on other languages, the field of automated speech recognition in Nepal is at its early level. With almost 29 million Nepali speakers all over the world, there can be a lot of applications of speech recognition. Therefore, the aim of this report is to show a way to develop an application that will be able to recognize the Nepali language Nepali Bhasa Recognizer will make it easier for a large number of disabled people to create a text file. Also since a lot of the Nepali people are not literate, this application could be handy to create a text document. According to the dataset we have created with 33 sentences in Nepali language with the speech corpus of 2 persons, we obtained around 85% of accuracy. This accuracy can be obtained more if the speech and text corpus are increased.