Titlebook: Deep Learning Approaches for Spoken and Natural Language Processing; Virender Kadyan,Amitoj Singh,Laith Abualigah Book 2021 The Editor(s)

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Optimal Fractal Feature Selection and Estimation for Speech Recognition Under Mismatched Conditions corresponding to every vowel for the improved efficiency of Automatic Speech Recognition (ASR) system. In this research, the linguistic study of native speakers and their auditory inconsistency was pursued using the extraction of efficient front-end speech vectors utilizing three varying fractal di

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Class Diagram Generation from Text Requirements: An Application of Natural Language Processing,equirements to sketching the program’s design, which is an essential task for programmers and software engineers. The motivation behind this task is related to the designations of software requirements created in the natural language (NL). To minimize these errors, we can transfer the software requi

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Semantic Similarity and Paraphrase Identification for Malayalam Using Deep Autoencoders,he unsupervised learning of phrase representations to extract features for paraphrase identification. Sentence’s features of varying lengths are converted to fixed-size representation using the convolution method of dynamic pooling. Initially, the Malayalam paraphrase identification system was desig

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Automatic Speech Recognition in English Language: A Review,re present on the market. Speech recognition applications are becoming useful and popular where typing was a challenging job. As the demands for new emergency medical services (EMS) are increasing, speech recognition systems (SRS) are easily accessible and may fulfill this demand. In addition, SRS m

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Noise-Robust Gender Classification System Through Optimal Selection of Acoustic Features, trend. In the past few decades, researchers have focused on integrating ensemble learning methods alongside the use of semi-supervised learning paradigm to construct more detailed and efficient classification systems. Likewise, male and female anatomical differences in human speech are related to t