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Feature fusion: research on emotion recognition in English speech
English speech incorporates numerous features associated with the speaker’s emotions, offering valuable cues for emotion recognition. This paper...
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A Hybrid Model for Forecasting Stock Prices Using Bayesian and LSTM
Forecasting stock price and intraday direction is the main problem in the area of Quantitative Finance. This paper explores the efficacy of Bayesian...
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DAN : Breast Cancer Classification from High-Resolution Histology Images Using Deep Attention Network
Millions of women succumb to breast cancer every year. Till date, it is mainly diagnosed by core needle biopsy of the breast tissue, followed by...
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Remaining Useful Life Estimation of Aircraft Engines Based on Deep Convolution Neural Network and LightGBM Combination Model
Accurately predicting the remaining useful life (RUL) of aero-engines is of great significance for improving the reliability and safety of...
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Neural RAPT: deep learning-based pitch tracking with prior algorithmic knowledge instillation
The task of estimating the fundamental frequency of an audio signal, also known as pitch tracking, has been a long-standing research area in speech...
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Online Arabic Handwriting Recognition Using Graphemes Segmentation and Deep Learning Recurrent Neural Networks
Currently, many research initiatives in online handwriting recognition field have been investigated. The challenge is more earnest for Arabic scripts...
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Classification of Documents Using Bidirectional Long Short-Term Memory Recurrent Neural Network
Documents are one of the most important files that have been used in computer systems.Sengar, Neha A deep learning model for document classification...
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Speech emotion classification using feature-level and classifier-level fusion
AbstractEmotion plays a vital role in every living being. Understanding emotion is a very complex task for everyone, but if possible, it will work...
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Detection of situational information from Twitter during disaster using deep learning models
Twitter is an excellent resource for communicating between the victims and organizations during a disaster. People share opinions, sympathies,...
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A Spatio-Temporal Framework for Dynamic Indian Sign Language Recognition
A sign language recognition system is a boon to the signer community as it eases the flow of information between the signer and non-signer...
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W2VC: WavLM representation based one-shot voice conversion with gradient reversal distillation and CTC supervision
Non-parallel data voice conversion (VC) has achieved considerable breakthroughs due to self-supervised pre-trained representation (SSPR) being used...
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Recognition of online handwritten Gurmukhi characters using recurrent neural network classifier
Handwriting recognition is one of the challenging tasks in the area of pattern recognition and machine learning. This paper presents the recognition...
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MSTRM: An Efficient Multi-scale Text Recognition Model
Text images in natural scenes pose a huge challenge for text recognition due to their complex background, perspective distortion, and excessive...
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Detection of Parkinson’s disease from handwriting using deep learning: a comparative study
Degenerative disorders such as Parkinson’s disease (PD) have an influence on daily activities due to rigidity of muscles, tremor or cognitive...
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End-to-End Scene Text Recognition Network with Adaptable Text Rectification
Scene text recognition has attracted wide attention of academic, since its irregular shape makes text recognition difficult. Because of the influence...
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Enhanced sentimental analysis using visual geometry group network-based deep learning approach
In this digital era, there are many reasons to investigate the positive and negative opinion: a lot of irrelevant or error-related information...
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Quaternary classification of emotions based on electroencephalogram signals using hybrid deep learning model
Recognizing emotions from electroencephalography (EEG) signals is a trustworthy and reliable method to monitor the mental health of patients and the...
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A Comparative Study on Single Image De-Raining Using Convolutional Neural Network
Most of the algorithms for computer vision require a clear image for its processing. For finding the proper solution to the visual degradation of the...
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A Piano Tune Generation Model Using Deep Learning
Among all signal streams, music is one of the most dominating signals. Due to this, the techniques used for extracting and reproducing musical...
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The Digital Twin in Human Activities: The Personal Digital Twin
With the 5G era evolving continuously towards maturity, ICDT deep convergence is accelerating, and so is the transformation of our society....