Text to speech conversion in Punjabi language using nourish forwarding algorithm

Abstract

Speech is the most critical communication type in everyday life. Nonetheless, the reliance of interaction of human computer on written text and images makes the utilization of computers incomprehensible for visually and physically impaired and illiterate masses. Text-to-speech (TTS) synthesis helps researchers of speech processing to follow up on this issue by synthesizing speech (in Indian local languages e.g. Punjabi, Hindi, Tamil etc.) from written text in browsers, mobile phones etc. A TTS system is a computer system that converts text into speech, i.e. automatically reads the text when asked to do so. This system is a blend of both software and hardware. Generally text (sentence) is composed of collection of words, while words are combination of alphabets arranged in a meaningful way. In this research work, the authors implemented a translation system where Punjabi text is converted into speech by using nourish forwarding algorithm. The accuracy of text to speech conversion is compared with Splitting Algorithm and its efficiency is marginally enhanced.