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 …
A study on the challenges and opportunities of speech recognition for Bengali language
Speech recognition is a fascinating process that offers the opportunity to interact and
command the machine in the field of human-computer interactions. Speech recognition is a …
command the machine in the field of human-computer interactions. Speech recognition is a …
[PDF][PDF] Short-term wind power forecasting using long-short term memory based recurrent neural network model and variable selection
Increasing concern for the environment has led to governments and companies pushing for
renewable power generation. The share of wind power for the supply of electricity has been …
renewable power generation. The share of wind power for the supply of electricity has been …
Computational intelligence in processing of speech acoustics: a survey
Speech recognition of a language is a key area in the field of pattern recognition. This paper
presents a comprehensive survey on the speech recognition techniques for non-Indian and …
presents a comprehensive survey on the speech recognition techniques for non-Indian and …
A comparative analysis of pooling strategies for convolutional neural network based Hindi ASR
V Passricha, RK Aggarwal - Journal of ambient intelligence and …, 2020 - Springer
State-of-the-art speech recognition is witnessing its golden era as convolutional neural
network (CNN) becomes the leader in this domain. CNN based acoustic models have been …
network (CNN) becomes the leader in this domain. CNN based acoustic models have been …
Deep learning long-short term memory (LSTM) for Indonesian speech digit recognition using LPC and MFCC Feature
This paper presents Indonesian speech digit of decimal number (0-9) recognition using
Deep Learning Long-Short Term Memory (LSTM). The LPC (Linear Predictive Coding) and …
Deep Learning Long-Short Term Memory (LSTM). The LPC (Linear Predictive Coding) and …
Horse foraging behavior detection using sound recognition techniques and artificial intelligence
Wearable sensing technologies can be used for precision livestock production and to study
foraging strategies to better understand the relationships between herbivores, vegetation …
foraging strategies to better understand the relationships between herbivores, vegetation …
Noise robust end-to-end speech recognition for bangla language
SH Sumit, T Al Muntasir, MMA Zaman… - … on bangla speech …, 2018 - ieeexplore.ieee.org
Robust speech recognition system is crucial for real-world applications and speech signal
generally contains considerable amount of noise. We propose an end-to-end deep learning …
generally contains considerable amount of noise. We propose an end-to-end deep learning …
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 …
technique that gives users the opportunity to interact with and control the machine. Currently …
A convolutional neural network based approach to recognize bangla spoken digits from speech signal
Speech recognition is a technique that converts human speech signals into text or words or
in any form that can be easily understood by computers or other machines. There have been …
in any form that can be easily understood by computers or other machines. There have been …