Abstract: This paper presents a brief study of remarkable works done for the development of Automatic Speech Recognition (ASR) system for Bangla language. It discusses information of available speech corpora for this language and reports major contributions made in this research paradigm in the last decade. Some important design issues to develop a speech recognizer are: levels of recognition, vocabulary size, speaker dependency and approaches for classifications; these have been defined in this paper in the order of complexity of speech recognition. It also highlights on some challenges which are very important to resolve in this exciting research field. Different studies carried out on last decade for Bangla speech recognition have been shortly reviewed in a chronological order. It was found that selection of classification model and training dataset play important roles in speech recognition.

Sadia Sultana, M. Shahidur Rahman and M. Zafar Iqbal, “Recent Advancement in Speech Recognition for Bangla: A Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 12(3), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120365

@article{Sultana2021,
title = {Recent Advancement in Speech Recognition for Bangla: A Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120365},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120365},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {3},
author = {Sadia Sultana and M. Shahidur Rahman and M. Zafar Iqbal}
}