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A Critical Insight into Automatic Visual Speech Recognition System Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

Latest Trends in Deep Learning for Automatic Speech Recognition System

verfasst von : Amritpreet Kaur, Rohit Sachdeva, Amitoj Singh

Erschienen in: Artificial Intelligence and Speech Technology

Verlag: Springer International Publishing

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Abstract

In the field of Computer Learning and Intelligent Systems research, Deep Learning is one of the latest development projects. It’s also one of the trendiest areas of study right now. Computational vision and pattern recognition have benefited greatly from the dramatic advances made possible by deep learning techniques. New deep learning approaches are already being suggested, offering performance that outperforms current state-of-the-art methods and even surpasses them. There has been much significant advancement in this area in the last few years. Deep learning is developing at an accelerated rate, making it difficult for new investigators to keep pace of its many kinds. We will quickly cover current developments in Deep Learning in the last several years in this article.

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Vorheriges Kapitel Comparison of Modelling ASR System with Different Features Extraction Methods Using Sequential Model
Nächstes Kapitel Deep Learning Approaches for Speech Analysis: A Critical Insight
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Metadaten
Titel
Latest Trends in Deep Learning for Automatic Speech Recognition System
verfasst von
Amritpreet Kaur
Rohit Sachdeva
Amitoj Singh
Copyright-Jahr
2022
Buch
Artificial Intelligence and Speech Technology

Print ISBN: 978-3-030-95710-0

Electronic ISBN: 978-3-030-95711-7

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-95711-7_6

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