Search
Search Results
-
Hybrid End-to-End Architecture for Hindi Speech Recognition System
Traditional automatic speech recognition (ASR) systems are based on statistical models like hidden Markov model–Gaussian mixture model (HMM-GMM)....
-
Correlative Exposition of Various Machine Learning Techniques for Urdu Handwritten Text Recognition
One of the most under-researched area in the field of natural language processing (NLP) has been the text classification. Text classification of...
-
Multi-headed deep learning-based estimator for correlated-SIRV Pareto type II distributed clutter
This paper deals with the problem of estimating the parameters of heavy-tailed sea clutter in high-resolution radar, when the clutter is modeled by...
-
An Intelligent Air Quality During COVID-19 Prediction and Monitoring System Using Temporal CNN-LSTM
Recently, air pollution is becoming a very big issue in metropolitan cities due to the availability of vehicles. This air pollution has spread...
-
Monaural speech separation using WT-Conv-TasNet for hearing aids
Resilient speech separation in multi-talker situations remains a challenge, particularly in real-time and low latency applications. Modern speech...
-
Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model
Online signals are rich in dynamic features such as trajectory chronology, velocity, pressure and pen up/down movements. Their offline counterparts...
-
Speech Emotion Classification Using Deep Learning
Over the last several years, the fields of affective computing and human–computer interaction have shown a great deal of interest in the topic of...
-
A Subconvolutional U-net with Gated Recurrent Unit and Efficient Channel Attention Mechanism for Real-Time Speech Enhancement
We propose a subconvolutional U-net with a gated recurrent unit and an efficient channel attention mechanism for real-time speech enhancement. The...
-
Acoustic Scene Classification Using Time–Frequency Energy Emphasis and Convolutional Recurrent Neural Networks
This paper demonstrated a Time–Frequency-Energy emphasis technique that is comparable to the popular Mel spectrogram for deep neural network (DNN)...
-
A Proposal for Improving Remaining Useful Life Prediction in Industrial Systems: A Deep Learning Approach
Accurate prediction of the remaining useful life (RUL) of engineering systems provides decision-makers valuable information to apply more efficient...
-
Handwritten Character Recognition for Tamil Language Using Convolutional Recurrent Neural Network
The process of conversion of printed Tamil character from a handwritten Tamil character is known as handwritten Tamil character recognition....
-
Fault Information Recognition for On-board Equipment of High-speed Railway Based on Multi-neural Network Collaboration
It is of great significance to guarantee the efficient statistics of high-speed railway on-board equipment fault information, which also improves the...
-
Sarcasm Detection in Online Social Network: Myths, Realities, and Issues
Sarcasm is a statement used by sophisticated people on social media and blog-oriented websites. It is used to express the indirect information on the...
-
A Step Forward to Revolutionize Intrusion Detection System Using Deep Convolutional Neural Network
Cyber-threats have become a devastating issue in the era of technically advanced world where data and information are strenuously used for predictive...
-
Arrhythmia Classification Using BiLSTM with DTCWT and MFCC Features
Heart disease is the number one causes of mortality all over the world. Electrocardiogram (ECG) is a valuable powerful tool in the diagnosis of...
-
Noise robust automatic speech recognition: review and analysis
Automatic Speech Recognition (ASR) system is an emerging technology used in various fields such as robotics, traffic controls, and healthcare, etc....
-
Hybrid end-to-end model for Kazakh speech recognition
Modern automatic speech recognition systems based on end-to-end (E2E) models show good results in terms of the accuracy of language recognition,...
-
Recognition of the Multioriented Text Based on Deep Learning
The development and use of systems for analyzing visuals, such as photos and videos, using benchmark datasets is a difficult but necessary...
-
A Comprehensive Study and Understanding—A Neurocomputing Prediction Techniques in Renewable Energies
Today’s Renewable energy become the best solution to keep the environment from pollution and provide another source of generation energy. Data...
-
Soft-computation based speech recognition system for Sylheti language
The encouraging trend of usage of human machine interfaces in diverse areas has driven the evolution of Automatic Speech Recognition (ASR) systems...
