Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …
native speakers worldwide. However, English is the predominant language for online …
Cepstral and acoustic ternary pattern based hybrid feature extraction approach for end-to-end bangla speech recognition
M Dua, Akanksha, S Dua - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
In the last three decades, a lot of work has been done for building Automatic Speech
Recognition (ASR) systems for well-established languages such as English, Chinese, etc …
Recognition (ASR) systems for well-established languages such as English, Chinese, etc …
[PDF][PDF] Deep learning approach for spoken digit recognition in Gujarati language
Speech Recognition is an emerging field in the area of Natural Language Processing which
provides ease for human machine interaction with speech. Speech recognition for digits is …
provides ease for human machine interaction with speech. Speech recognition for digits is …
Enhancing amazigh ASR through convolutional neural networks and MFCC
In this study, we developed a speech recognition system for the Amazigh language,
specifically targeting the recognition of the initial ten numbers. The system employs four …
specifically targeting the recognition of the initial ten numbers. The system employs four …
A novel bangla spoken numerals recognition system using convolutional neural network
Automatic speech recognition (ASR) converts human speech into text or words that can be
understood and classified easily. Only digits from (0-9) were used in the few studies on …
understood and classified easily. Only digits from (0-9) were used in the few studies on …
Spoken Persian digits recognition using deep learning
Classification of isolated digits is a fundamental challenge for many speech classification
systems. Previous works on spoken digits have been limited to the numbers 0 to 9. In this …
systems. Previous works on spoken digits have been limited to the numbers 0 to 9. In this …
Spoken word recognition using a novel speech boundary segment of voiceless articulatory consonants
Communication through speech offers the most straightforward channel for man-machine
interaction. Nevertheless, it is a barrier for some languages with low data resources …
interaction. Nevertheless, it is a barrier for some languages with low data resources …
Development of low resource machine learning models for child cognitive ability assessments
A Kahawanugoda, K Gnanarathna… - … on Advancements in …, 2022 - ieeexplore.ieee.org
Automated cognitive assessment tools are state-of-the-art in assessing cognition
development. Due to the low availability of resources, building automated cognitive ability …
development. Due to the low availability of resources, building automated cognitive ability …
Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla
Bangla or Bengali is the national language of Bangladesh, people from different regions
don't talk in proper Bangla. Every division of Bangladesh has its own local language like …
don't talk in proper Bangla. Every division of Bangladesh has its own local language like …
Speech-Based Number Recognition Using KNN and SVM
RR Porle, S Embok - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Speech-Based Number Recognition is a system that recognizes numbers based on the
speech of the user. Most of the research makes use of English, Bangla, Tamil, etc., but the …
speech of the user. Most of the research makes use of English, Bangla, Tamil, etc., but the …