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Published in:
A Critical Insight into Automatic Visual Speech Recognition System Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Comparison of Modelling ASR System with Different Features Extraction Methods Using Sequential Model

Authors : Aishwarya Suresh, Anushka Jain, Kriti Mathur, Pooja Gambhir

Published in: Artificial Intelligence and Speech Technology

Publisher: Springer International Publishing

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Abstract

Speech recognition refers to a device’s ability to respond to spoken instructions. Speech recognition facilitates hands-free use of various gadgets and appliances (a godsend for many incapacitated persons), as well as supplying input for automatic translation and ready-to-print dictation. Many industries, including healthcare, military telecommunications, and personal computing, use speech recognition programmes. In our paper, we are including the comparison between the different feature extraction methods (BFCC, GFCC, MFCC, MFCC Delta, MFCC Double Delta, LFCC and NGCC) using neural networks.

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Metadata
Title
Comparison of Modelling ASR System with Different Features Extraction Methods Using Sequential Model
Authors
Aishwarya Suresh
Anushka Jain
Kriti Mathur
Pooja Gambhir
Copyright Year
2022
Book
Artificial Intelligence and Speech Technology

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

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

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-95711-7_5

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