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Challenges and Opportunities of Speech Recognition for Bengali Language

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arxiv 2109.13217 v1 pith:DUKA3FJJ submitted 2021-09-27 cs.CL cs.SDeess.AS

classification cs.CLcs.SDeess.AS
keywords bengalichallengesspeechlanguagerecognitionsystemssystemlanguage-dependent
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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  1. A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR

    cs.SD 2025-08 conditional novelty 5.0 of 10

    A two-stage, noise-augmented fine-tuning of WavLM achieves state-of-the-art WER/CER on Bengali dialectal ASR under clean and noisy conditions.

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