Bengali Voice Commerce Audio Dataset for Automatic Speech Recognition

This meticulously curated dataset presents a comprehensive collection of Bengali speech recordings meticulously compiled for the advancement of voice-enabled commerce applications. Consisting of 3344 high-quality audio samples, this dataset encapsulates diverse voice recordings articulating product names and quantities commonly encountered in retail and e-commerce settings. Each recording, encompassing a spectrum of environmental conditions ranging from bustling locales to controlled studio settings, offers a rich repository for developing and enhancing Automatic Speech Recognition (ASR) systems. Alongside the audio files, meticulously annotated Bengali and English transcripts stored in a CSV format accompany each recording, ensuring comprehensive linguistic documentation. Featuring contributions from 80 native Bengali speakers, including a balanced representation of 45 male and 35 female speakers, this dataset facilitates robust research in Bengali ASR, fostering innovation in voice commerce technology and inclusive digital interactions. Researchers and practitioners in machine learning, natural language processing, and human-computer interaction can leverage this dataset to propel advancements in voice-driven applications and accessibility initiatives.