Deep learning approaches for spoken and natural language processing / Virender Kadyan, Amitoj Singh, Mohit Mittal, Laith Abualigah, editors.
Kadyan, Virender, 1988- editor.; Singh, Amitoj, editor.; Mittal, Mohit, editor.; Abualigah, Laith, editor.
2021
QA76.9.N38
Available Online

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Title Deep learning approaches for spoken and natural language processing / Virender Kadyan, Amitoj Singh, Mohit Mittal, Laith Abualigah, editors.
ISBN 9783030797782 (electronic bk.)
3030797783 (electronic bk.)
9783030797775 (print)
3030797775
DOI https://doi.org/10.1007/978-3-030-79778-2
Published Cham, Switzerland : Springer, 2021.
Language English
Description 1 online resource (xii, 165 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-030-79778-2 doi
Call Number QA76.9.N38
Dewey Decimal Classification 006.3/5
Summary This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work. Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications; Presents and escalates the research trends and future direction of language and speech processing; Includes theoretical research, experimental results, and applications of deep learning.
Note Includes index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 5, 2022).
Added Author Kadyan, Virender, 1988- editor.
Singh, Amitoj, editor.
Mittal, Mohit, editor.
Abualigah, Laith, editor.
Series Signals and communication technology, 1860-4870
Available in Other Form Print version: 9783030797775
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Introduction
Fundamentals of Speech Perception, Production and Acquisition
How to focus on Phonetics, Phonology and Prosody
Analysis of Paralinguistic in Speech and Language
Factor affecting in designing of a particular language Corpus
Role of Deep Learning methods in Speaker and Language Identification
Analysis of Language, Speech and Audio Signals
Use of Deep learning approaches in Speech Coding and Enhancement
Case studies of Speech Synthesis and Spoken Language Generation
Processing of Speech Recognition
Design and Development of DNN based Speech
Recognition and Language Processing systems
Implementation of Speech Recognition
Visualize the Spoken Language Processing systems
Spoken and Language Processing
Conclusion.

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