Testing Speech to Text Application on Android Platform

Abstract

Speech recognition reduces the overhead caused by alternate communication methods. Speech has not been used much in the field of electronics and computers due to the complexity and variety of speech signals and sounds. However, with modern processes, algorithms, and methods we can process speech signals easily and recognize the text. In this paper, we are going to develop an on-line speech-totext engine. The system acquires speech at run time through a microphone and processes the sampled speech to recognize the uttered text. An application like voice search is developed in this work that allows a user to record and convert spoken input into Bing Search Engine that will be search the user’s data. This application will find the famous places in Myanmar. Speech recognition is done via the Internet, connecting to Google’s server. The application is adapted to input messages in English. Speech recognition for Voice uses a technique based on Hidden Markov Model (HMM). It is currently the most successful and most flexible approach to speech recognition.