Deep Learning Approaches for Spoken and Natural Language Processing

Deep Learning Approaches for Spoken and Natural Language Processing

Singh, Amitoj; Kadyan, Virender; Mittal, Mohit; Abualigah, Laith

Springer Nature Switzerland AG

12/2021

165

Dura

Inglês

9783030797775

15 a 20 dias

474

Descrição não disponível.
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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Handwriting Recognition;Pattern Recognition;Speech Recognition;Spoken Language Processing;Writer Identification;Speaker Verification;Speaker Identification