A character gram modeling approach towards Bengali Speech to text with regional dialects

dc.contributor.advisorRabiul Alam, Dr. Md. Golam
dc.contributor.authorHassan, Md. Rezuwan
dc.date.accessioned2025-05-22T08:19:06Z
dc.date.available2025-05-22T08:19:06Z
dc.date.issued2024-11
dc.descriptionCataloged from PDF version of internship report.
dc.descriptionIncludes bibliographical references (pages 96-105).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2024.
dc.description.abstractThe Bengali language, spoken in various regions of south-Asia and also among the Bengali diaspora, exhibits rich diversity with regional dialects or variations that reflect the cultural, geographic, and historical influences of different regional/sociocultural communities. Based on phonology and pronunciation, Bengali is said to have 5 distinct major dialectal variations, such as Eastern Bengali Dialect, Manbhumi, Rangpuri, Varendri, and Rarhi. For the dialects present in Bangladesh, even finer stratification can be done based on the used vocabulary, pronunciation, phonology, syntax, and morphology.These regional Bengali dialects are found in regions such as Bangladesh in the regions of Chittagong, Sylhet, Rangpur, Rajshahi, Noakhali, Barishal, etc possess unique phonetic, lexical, and syntactic features that set them apart from standard Bengali and also unique from each other. However, research and resources dedicated to understanding and harnessing the potential of natural language processing of regional Bengali languages remain limited. To bridge this gap, this work aims to investigate and document the characteristics of regional Bengali languages through comprehensive data-driven linguistic analyses, including phonetic and morphological studies. We also aim to study the feasibility of developing computational models, including Automatic Speech Recognition (ASR) systems, tailored to regional Bengali languages, which can facilitate applications like virtual voice command assistants and language processing tools. Our research findings will contribute to the understanding of regional Bengali languages, paving the way to foster the advancement of language technologies that can cater to the diverse linguistic needs of Bengali-speaking communities. Through this study, we intend to promote preservation of the regional dialects of the Bengali language, foster cultural inclusivity, and facilitate effective communication in the Bengali-speaking regions.
dc.identifier.otherID: 21266014
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/aadc7c09-9a49-478e-a612-5a9bb459cd40
dc.identifier.urihttp://hdl.handle.net/10361/25982
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectAutomatic speech recognition
dc.subjectRegional Bengali speech
dc.subjectWav2Vec2
dc.subjectBengali dialects
dc.subjectLinguistic analysis
dc.subjectASR
dc.subjectDataset curation
dc.titleA character gram modeling approach towards Bengali Speech to text with regional dialects
dc.typeThesis

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