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 …

Rapid detection and counting of wheat ears in the field using YOLOv4 with attention module

B Yang, Z Gao, Y Gao, Y Zhu - Agronomy, 2021 - mdpi.com
The detection and counting of wheat ears are very important for crop field management,
yield estimation, and phenotypic analysis. Previous studies have shown that most methods …

Rapid target detection of fruit trees using UAV imaging and improved light YOLOv4 algorithm

Y Zhu, J Zhou, Y Yang, L Liu, F Liu, W Kong - Remote Sensing, 2022 - mdpi.com
The detection and counting of fruit tree canopies are important for orchard management,
yield estimation, and phenotypic analysis. Previous research has shown that most fruit tree …

A Systematic Literature Review: Recursive Feature Elimination Algorithms

AM Priyatno, T Widiyaningtyas - JITK (Jurnal Ilmu …, 2024 - ejournal.nusamandiri.ac.id
Recursive feature elimination (RFE) is a feature selection algorithm that works by gradually
eliminating unimportant features. RFE has become a popular method for feature selection in …

Application of probabilistic neural network for speech emotion recognition

S Deshmukh, P Gupta - International Journal of Speech Technology, 2024 - Springer
Emotions are fundamental part of human interactions. Emotion recognition is the approach
of discovering human emotions. Generally, emotion recognition is done using text, speech …

A Comprehensive Bibliometric Analysis of Deep Learning Techniques for Breast Cancer Segmentation: Trends and Topic Exploration (2019-2023)

AP Windarto, A Wanto, S Solikhun… - … (Rekayasa Sistem dan …, 2023 - jurnal.iaii.or.id
The objective of this study is to perform a comprehensive bibliometric analysis of the existing
literature on breast cancer segmentation using deep learning techniques. Data for this …

Language dialect based speech emotion recognition through deep learning techniques

S Rajendran, SK Mathivanan, P Jayagopal… - International Journal of …, 2021 - Springer
The primordial way of communication is through vocal signals, which pave the way for
support between individuals in a social structure. Computer applications provide a way to …

A comparative study of speaker role identification in air traffic communication using deep learning approaches

D Guo, J Zhang, B Yang, Y Lin - ACM Transactions on Asian and Low …, 2023 - dl.acm.org
Automatic spoken instruction understanding (SIU) of the controller-pilot conversations in the
air traffic control (ATC) requires not only recognizing the words and semantics of the speech …

Optimal trained ensemble of classification model for speech emotion recognition: Considering cross-lingual and multi-lingual scenarios

RR Kawade, SK Jagtap - Multimedia Tools and Applications, 2024 - Springer
Speech has a significant role in conveying emotional information, and SER has emerged as
a crucial component of the human–computer interface that has high real-time and accuracy …

Predicting the supreme court decision on appeal cases using hierarchical convolutional neural network

N Sivaranjani, J Jayabharathy, PC Teja - International Journal of Speech …, 2021 - Springer
A court of a country is the main source of justice, to the respective country's citizens. Every
individual approaches courts to seek justice when his/her rights are violated. The main …