Deep Learning Based Sound Event Recognition

Loading...
Thumbnail Image

Date

Authors

Bajzík, Jakub

Advisor

Referee

Mark

Journal Title

Journal ISSN

Volume Title

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

ORCID

Abstract

The main paper deals with the analysis of the methods of processing and recognition of events in the audio signal and the implementation of the selected method in real use. Recognized events are gunshots placed in a background sound such as traffic noise, human voice, animal sounds and other forms of environmental sounds. For events classification and class recognition, the freely available machine learning framework TensorFlow is used.

Description

Citation

Proceedings of the 25st Conference STUDENT EEICT 2019. s. 382-385. ISBN 978-80-214-5735-5
http://www.feec.vutbr.cz/EEICT/

Document type

Peer-reviewed

Document version

Published version

Date of access to the full text

Language of document

sk

Study field

Comittee

Date of acceptance

Defence

Result of defence

DOI

Endorsement

Review

Supplemented By

Referenced By

Citace PRO