期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2021
卷号：12
期号：3
页码：546-552
DOI：10.14569/IJACSA.2021.0120365
出版社：Science and Information Society (SAI)
摘要：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.
