2023
DOI: 10.15587/1729-4061.2023.273492
|View full text |Cite
|
Sign up to set email alerts
|

Developing microphone-based audio commands classifier using convolutional neural network

Abstract: Audio command recognition methods are essential to be recognized for performing user instructions, especially for people with disabilities. Previous studies couldn’t examine and classify the performance optimization of up to twelve audio commands categories. This work develops a microphone-based audio commands classifier using a convolutional neural network (CNN) with performance optimization to categorize twelve classes including background noise and unknown words. The methodology mainly includes preparing th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 18 publications
(20 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?