• čeština
    • English
  • English 
    • čeština
    • English
  • Login
View Item 
  •   Repository Home
  • Sborníky z konferencí
  • Fakulta elektrotechniky a komunikačních technologií
  • Konference Student EEICT
  • Student EEICT 2019
  • View Item
  •   Repository Home
  • Sborníky z konferencí
  • Fakulta elektrotechniky a komunikačních technologií
  • Konference Student EEICT
  • Student EEICT 2019
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Deep Learning Based Sound Event Recognition

Thumbnail
View/Open
382_eeict2019.pdf (1.200Mb)
Date
2019
Author
Bajzík, Jakub
Alternative metrics PlumX
http://hdl.handle.net/11012/186698
Altmetrics
http://hdl.handle.net/11012/186698
http://hdl.handle.net/11012/186698
Metadata
Show full item record
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.
Keywords
Sound recognition, machine learning, neural network, signal processing
Persistent identifier
http://hdl.handle.net/11012/186698
Document type
Peer reviewed
Document version
xmlui.vut.verze.Publishers's version
Source
Proceedings of the 25st Conference STUDENT EEICT 2019. s. 382-385. ISBN 978-80-214-5735-5
http://www.feec.vutbr.cz/EEICT/
Collections
  • Student EEICT 2019 [174]
Citace PRO

Portal of libraries | Central library on Facebook
DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback | Theme by @mire NV
 

 

Browse

All of repositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

Portal of libraries | Central library on Facebook
DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback | Theme by @mire NV