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.

Spell checkers check whether a word is misspelled and provide suggestions to correct it. Detection and correction of spelling errors in Bangla language which is the seventh most spoken native language in the world, is very onerous because of the complex rules of Bangla spelling. There is no systematic literature review on this research topic. In this paper, we present a systematic literature review on checking and correcting spelling errors in Bangla language. We investigate the current methods used for spell checking and find out what challenges are addressed by those methods. We also report the limitations of those methods. Recent relevant studies are selected based on a set of significant criteria. Our results indicate that there are research gaps in this research topic and has a potential for further investigation.