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Article
Isolated word recognition based on a hyper-tuned cross-validated CNN-BiLSTM from Mel Frequency Cepstral Coefficients
Speech Recognition(SR) is a challenging task because existing models expect their users from different geographies to have the same level of proficiency, which is unrealistic. Existing models achieve high clas...
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Article
LIFA: Language identification from audio with LPCC-G features
In Western countries, speech recognition-based technologies have significantly developed compared to the countries of the South Asian subcontinent like India. India is a multilingual country (22 scheduled lang...
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Article
RAttSR: A Novel Low-Cost Reconstructed Attention-Based End-to-End Speech Recognizer
People are curious about voice commands for the next generation of interaction. It will play a dominant role in communicating with smart devices in the future. However, language remains a significant barrier t...
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Article
Biomedical term extraction using fuzzy association
Automatic term extraction from a biomedical text is a well-known problem in the area of natural language processing. It is carried out by employing four kinds of measures: linguistic and rule-based, dictionary...
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Article
Prediction of spirometry parameters of adult Indian population using machine learning technology
Spirometry is one of the important non-invasive, sensitive, easy-to-perform, reproducible, and objective biomedical screening and diagnostic procedures in healthcare for the assessment of lung function. To dat...
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Article
Machine learning approach of speech emotions recognition using feature fusion technique
In advancement of machine learning aspect, speech based emotional states identification must have a profound impact on artificial intelligence. Proper feature selection performs a vital role on such emotion re...
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Article
A hybrid feature-extracted deep CNN with reduced parameters substitutes an End-to-End CNN for the recognition of spoken Bengali digits
Speech Recognition (SR) is an emerging field in the native language nowadays. Recognizing isolated words in the local language helps people use smartphones and electronic gadgets without technical or education...
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Article
A Visual Attention-Based Model for Bengali Image Captioning
Image caption or description generation is a fundamental task that involves computer vision (CV) and natural language processing (NLP) ideas to recognize an image-context and produces description(s) using a na...
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Article
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network
With the advancement of deep learning and thermal imaging technology, prediction of plant disease before the appearance of any visual symptoms gains attention. Studies showed that before the appearance of any ...
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Article
A novel pre-processing technique of amplitude interpolation for enhancing the classification accuracy of Bengali phonemes
In linguistics, phonemes are the atomic sound, called word segmentor play an important role to recognize the word properly. A novel approach of seven Bengali vowels and ten diphthongs (a syllable for the pronu...
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Chapter
Isolated Bangla Spoken Digit and Word Recognition Using MFCC and DTW
Digit recognition is one of the elegant research topics in modern world. Scientists had already got an excellent output in their research work on this topic for English and Chinese like languages. However, ver...
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Chapter and Conference Paper
Application of Machine Learning Technology for Screening of Mental Health Disorder
Mental health disorders are one of the most significant public health problems worldwide. Currently, one in every eight individuals is suffering from some kind of mental health issue. Anxiety and depression ar...
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Chapter and Conference Paper
Recognition of Infant Footprint: A Review of Advanced Techniques
“In spite of RFID tags, NICU baby-swap** cannot be prevented.” Across decades, this question has daunted nursing supervisors, pediatric mentors, and newborns’ mothers, thus inspiring a thread of research in ...
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Article
An efficient IDS in cloud environment using feature selection based on DM algorithm
Cloud Computing provides the use of a wide array of applications to a designated server outside one’s personal computer. In the current technological era with the evolution of the Internet, it is being used on...
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Article
An efficient SGM based IDS in cloud environment
Cloud computing is the sharing of remote access resources over the Internet. But with this comes an extensive risk of unauthorized access. Hence, for the security and privacy of the data, intrusion detection s...
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Chapter and Conference Paper
Agricultural Image Augmentation with Generative Adversarial Networks GANs
Deep Learning gains popularity in almost every field of research currently and agricultural industry is not the exception in this. One of the main challenge in deep learning is the requirement of lots of data ...
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Chapter and Conference Paper
Automatic Sign Language Identification Using Convolutional Neural Network
language is the mode of communication for such people who are not blessed with the gift of hearing and speech. It involves the use of hands and facial expressions, Understanding sign language is diffi...
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Chapter and Conference Paper
Thermal Image Augmentation with Generative Adversarial Network for Agricultural Disease Prediction
Nowadays deep neural networks have radically changed the scenery of the recent research field of computer vision. The deep learning based method gains attention to the researcher for their astonishing performa...
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Chapter and Conference Paper
ABID: Attention-Based Bengali Image Description
Image caption or description generation is a fundamental problem of artificial intelligence. It requires both knowledge, natural language processing, and computer vision together. It automatically produces des...
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Article
Can deep learning solve a preschool image understanding problem?
Automatic assessment of learning is a process where the computer system automatically generates test items and evaluates the responses. Image is one of the major media to assess learning capabilities. In this ...
