An overview of bengali speech recognition: Methods, challenges, and future direction

N Tasnia, M Islam, MS Rony, N Tanzim… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
In the subject of human-computer interactions, speech recognition is an appealing
technique that gives users the opportunity to interact with and control the machine. Currently …

SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages

R Groh, N Goes, AM Kist - arXiv preprint arXiv:2403.09753, 2024 - arxiv.org
Benchmarking plays a pivotal role in assessing and enhancing the performance of compact
deep learning models designed for execution on resource-constrained devices, such as …

Natural Language Processing for recognizing Bangla speech with regular and regional dialects: A survey of algorithms and approaches

PB Upama, P Sridevi, M Rabbani… - 2024 IEEE 48th …, 2024 - ieeexplore.ieee.org
Natural Language Processing (NLP) is one of the fundamental domains of Artificial
Intelligence (AI). In this paper, we present a systematic review of NLP based research for …

BanglaNum--A Public Dataset for Bengali Digit Recognition from Speech

MS Mohammad, A Zahid, MA Iqbal - arXiv preprint arXiv:2403.13465, 2024 - arxiv.org
Automatic speech recognition (ASR) converts the human voice into readily understandable
and categorized text or words. Although Bengali is one of the most widely spoken languages …

[PDF][PDF] Speaker Independent Bangla Isolated Speech Recognition Using Deep Neural Network

D Bhadra, M Hossain, F Alam - researchgate.net
Introduction: In this work, a dataset is created containing both Bangla and English words
spoken by Bengali Speaker. An approach is proposed in this work to recognize isolated …