A comprehensive survey on automatic speech recognition using neural networks

AS Dhanjal, W Singh - Multimedia Tools and Applications, 2024 - Springer
The continuous development in Automatic Speech Recognition has grown and
demonstrated its enormous potential in Human Interaction Communication systems. It is …

[PDF][PDF] Speech recognition utilizing deep learning: A systematic review of the latest developments

D Al-Fraihat, Y Sharrab, F Alzyoud… - Human-centric …, 2024 - researchgate.net
Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …

Hybrid deep learning based automatic speech recognition model for recognizing non-Indian languages

A Gupta, R Kumar, Y Kumar - Multimedia Tools and Applications, 2024 - Springer
Speech is a natural phenomenon and a significant mode of communication used by humans
that is divided into two categories, human-to-human and human-to-machine. Human-to …

[HTML][HTML] A Bidirectional LSTM approach for written script auto evaluation using keywords-based pattern matching

N Prabakaran, R Kannadasan… - Natural Language …, 2023 - Elsevier
The evaluation process necessitates significant work in order to effectively and impartially
assess the growing number of new subjects and interests in courses. This paper aims at …

Network Course Recommendation System Based on Double‐Layer Attention Mechanism

Q Zhu - Scientific Programming, 2021 - Wiley Online Library
In view of the lack of accurate recommendation and selection of courses on the network
teaching platform in the new form of higher education, a network course recommendation …

[PDF][PDF] A brief study on rice diseases recognition and image classification: fusion deep belief network and S-particle swarm optimization algorithm

M Jayaram, G Kalpana, SR Borra… - Int. J. Electr. Comput …, 2023 - academia.edu
In the regions of southern Andhra Pradesh, rice brown spot, rice blast, and rice sheath blight
have emerged as the most prevalent diseases. The goal of this research is to increase the …

Image classification and recognition of rice diseases: a hybrid DBN and particle swarm optimization algorithm

Y Lu, J Du, P Liu, Y Zhang, Z Hao - Frontiers in Bioengineering and …, 2022 - frontiersin.org
Rice blast, rice sheath blight, and rice brown spot have become the most popular diseases
in the cold areas of northern China. In order to further improve the accuracy and efficiency of …

A hybrid feature-extracted deep CNN with reduced parameters substitutes an End-to-End CNN for the recognition of spoken Bengali digits

B Paul, S Phadikar - Multimedia Tools and Applications, 2024 - Springer
Speech Recognition (SR) is an emerging field in the native language nowadays.
Recognizing isolated words in the local language helps people use smartphones and …

A multi-lingual speech recognition-based framework to human-drone interaction

K Choutri, M Lagha, S Meshoul, M Batouche, Y Kacel… - Electronics, 2022 - mdpi.com
In recent years, human–drone interaction has received increasing interest from the scientific
community. When interacting with a drone, humans assume a variety of roles, the nature of …

Automatic speech recognition for speech assessment of persian preschool children

A Abaskohi, F Mortazavi, H Moradi - arXiv preprint arXiv:2203.12886, 2022 - arxiv.org
Preschool evaluation is crucial because it gives teachers and parents influential knowledge
about children's growth and development. The COVID-19 pandemic has highlighted the …