Work place: Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
E-mail: mamun.ahmed@bracu.ac.bd
Website:
Research Interests: Software Construction, Software Engineering, Computational Learning Theory, Natural Language Processing
Biography
Khandaker Mamun Ahmed is a lecturer in the Department of Computer Science and Engineering at BRAC University. He has completed his B.Sc in Software Engineering from Institute of Information Technology, University of Dhaka. His core research areas of interests are machine learning, natural language processing and software engineering.
By Khandaker Mamun Ahmed Prianka Mandal B M Mainul Hossain
DOI: https://doi.org/10.5815/ijieeb.2019.02.01, Pub. Date: 8 Mar. 2019
Text-to-speech (TTS) synthesis is a rapidly growing field of research. Speech synthesis systems are applicable to several areas such as robotics, education and embedded systems. The implementation of such TTS system increases the correctness and efficiency of an application. Though Bangla is the seventh most spoken language all over the world, uses of TTS system in applications are difficult to find for Bangla language because of lacking simplicity and lightweightness in TTS systems. Therefore, in this paper, we propose a simple and lightweight TTS system for Bangla language. We converted Bangla text to Romanized text based on Bangla graphemes set and by developing a bunch of romanization rules. Besides, an xml-based data representation is developed as a feature of the system. It gives the flexibility to modify the data representation, parsing data and create speech based on one’s own dialect. Our proposed system is very lightweight which takes less processing time and produces a good understandable speech.
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