Challenges and Opportunities of Speech Recognition for Bengali Language
This work addresses the problem of underdeveloped speech recognition for Bengali speakers, but it is incremental as it primarily reviews existing challenges without introducing new methods or results.
The paper reviews the current state of Bengali automatic speech recognition (ASR) systems, identifying that they have not reached an acceptable level compared to international languages, and concludes that tailored ASR architectures based on Bengali's grammatical and phonetic structure are needed.
Speech recognition is a fascinating process that offers the opportunity to interact and command the machine in the field of human-computer interactions. Speech recognition is a language-dependent system constructed directly based on the linguistic and textual properties of any language. Automatic Speech Recognition (ASR) systems are currently being used to translate speech to text flawlessly. Although ASR systems are being strongly executed in international languages, ASR systems' implementation in the Bengali language has not reached an acceptable state. In this research work, we sedulously disclose the current status of the Bengali ASR system's research endeavors. In what follows, we acquaint the challenges that are mostly encountered while constructing a Bengali ASR system. We split the challenges into language-dependent and language-independent challenges and guide how the particular complications may be overhauled. Following a rigorous investigation and highlighting the challenges, we conclude that Bengali ASR systems require specific construction of ASR architectures based on the Bengali language's grammatical and phonetic structure.