RegSpeech12: A Regional Corpus of Bengali Spontaneous Speech Across Dialects

• URL: http://arxiv.org/abs/2510.24096v1
• Date: Tue, 28 Oct 2025 06:08:42 GMT
• Title: RegSpeech12: A Regional Corpus of Bengali Spontaneous Speech Across Dialects
• Authors: Md. Rezuwan Hassan, Azmol Hossain, Kanij Fatema, Rubayet Sabbir Faruque, Tanmoy Shome, Ruwad Naswan, Trina Chakraborty, Md. Foriduzzaman Zihad, Tawsif Tashwar Dipto, Nazia Tasnim, Nazmuddoha Ansary, Md. Mehedi Hasan Shawon, Ahmed Imtiaz Humayun, Md. Golam Rabiul Alam, Farig Sadeque, Asif Sushmit,
• Abstract summary: The Bengali language is spoken extensively across South Asia and among diasporic communities.<n>Five principal dialect groups are identified: Eastern Bengali, Manbhumi, Rangpuri, Varendri, and Rarhi.<n>Research on the computational processing of Bengali dialects remains limited.
• Score: 5.805745873296805
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The Bengali language, spoken extensively across South Asia and among diasporic communities, exhibits considerable dialectal diversity shaped by geography, culture, and history. Phonological and pronunciation-based classifications broadly identify five principal dialect groups: Eastern Bengali, Manbhumi, Rangpuri, Varendri, and Rarhi. Within Bangladesh, further distinctions emerge through variation in vocabulary, syntax, and morphology, as observed in regions such as Chittagong, Sylhet, Rangpur, Rajshahi, Noakhali, and Barishal. Despite this linguistic richness, systematic research on the computational processing of Bengali dialects remains limited. This study seeks to document and analyze the phonetic and morphological properties of these dialects while exploring the feasibility of building computational models particularly Automatic Speech Recognition (ASR) systems tailored to regional varieties. Such efforts hold potential for applications in virtual assistants and broader language technologies, contributing to both the preservation of dialectal diversity and the advancement of inclusive digital tools for Bengali-speaking communities. The dataset created for this study is released for public use.

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