A novel training based Concatenative Bangla Speech Synthesizer model

In the modern era of information technology, information is carried out in various ways to lead human life easily. Information can be exchanged among people in various ways and speech is the primary communication process among human beings. A TTS (Text-to-Speech) is used to convert input text to speech, and it's very popular application for computer users. Although different types of speech synthesis technologies are available for the English, France, Chinese and so many other languages, but in Bengali language, it's so scarce. This paper represents the implemented process of training based Concatenative Bangle Speech Synthesizer System and its performance. The synthetic utterances are built by concatenating different speech units selected from recorded database from the training session for concatenative speech synthesizer system. Here training based means any person can train his/her voice and that will be stored on database and next time that person will input a text to convert speech and listen according to his/her trained voice. So this process is known as independent voice. And to train the voice a set of Bengali keyword is stored on the database as segmented audio file. At last the performance of this Bangla speech synthesizer system implemented by the concatenative speech synthesizer technology is analyzed which has provided 85% accuracy to listener to identify the sentence.