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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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Chapter
Resource Management in Distributed Computing
Distributed computing is one of the most significant frameworks for modern computing systems. In this chapter, an overview of the resource allocation and management in distributed computing system is provided ...
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Chapter
Internet of Things and Dew Computing-Based System for Smart Agriculture
Internet of Things has revolutionised our daily life by providing varied smart applications. Smart healthcare, smart home monitoring, smart city, smart retail, etc., are various sectors where Internet of Thing...
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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
E-CropReco: a dew-edge-based multi-parametric crop recommendation framework for internet of agricultural things
Crop productivity prediction and recommendation is a significant research area of smart agriculture. This paper proposes an Internet of Things (IoT) framework based on dew computing, edge computing, and federa...
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Chapter and Conference Paper
Taxonomy of Music Genre Using Machine Intelligence from Feature Melting Technique
Music is an effectual therapy in our life that makes us calm, cheerful, and excited. Music genre classification (MGC) is essential for recommendation of music and information retrieval. In our proposed work, a...
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Chapter and Conference Paper
Identification of Mental State Through Speech Using a Deep Learning Approach
Identification of one's feelings and attitude through speech is a powerful medium for expressing. Finding the emotional content in speech signals and identifying the emotions in speech utterances is crucial fo...
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Chapter and Conference Paper
A Study of Young User Preferences for Form and Colour as an Influential Design Attribute
The increase in technology and usage of smart wearables has led to the need in understanding user preferences. The form structure and colours play a major role in buying and understanding the design preference...
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Chapter and Conference Paper
Bangla Spoken Numerals Recognition by Using HMM
Speech is one of the most natural forms of vocalized communication media. Nowadays with the advancement of machine learning, different doors are opened to us for finding several standard ways to step out in th...
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Chapter and Conference Paper
A Novel Approach of Audio-Visual Color Recognition Using KNN
Speech is one of the attractive areas of the scientists to research in the field of machine learning and they got maximum success in Automatic Speech Recognition system. ASR system gradually enters its footste...
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Chapter and Conference Paper
A Comparative Study on Sentiment Analysis Influencing Word Embedding Using SVM and KNN
Development of sentiment analysis is one of the most active research areas that relates natural language and social networks. In our proposed work, we have done sentiment analysis on an annotated list of posit...
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Chapter and Conference Paper
Voice-Based Railway Station Identification Using LSTM Approach
Enormous research is going on Automatic Speech Recognition (ASR) in the past decade. Human-Computer Interaction (HCI) will become more efficient and hands-free through voice-based commands. In our proposed wor...
