Sinhala Speech to Text Library using Sphinx

Abstract

Speech-to-text has generated a tremendous interest in the field of Natural Language Processing where the ultimate goal is to build applications and systems that has the capability to respond to the natural languages that us humans use in a daily basis. Converting speech to text using European languages has emerged in the world and can be found in most modern electronic devices. But a speech-to-text tool for the native language of Sri Lanka which is “Sinhala” is rare to find. So, developing a STT algorithm for Sinhala to implement an application would help most of the local workforce for their day-today tasks and for the development of the software industry with a unique Sri Lankan touch. STT has become one of the best used technologies in the modern world. It has caught the attention of the public as it is an excellent user-friendly feature that has been embedded to electronic devices in the modern world. It too has caught the attention of the organizations as they can develop much better and attractive devices which can rise in the competing market. Personal Computers, Hand-held smart devices and even modern automobiles come preintegrated with STT for the convenient of the user and give them a better experience