Detail publikace

DEEP LEARNING BASED SOUND EVENT RECOGNITION

BAJZÍK, J.

Originální název

DEEP LEARNING BASED SOUND EVENT RECOGNITION

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Sound recognition, machine learning, neural network, signal processing

Autoři

BAJZÍK, J.

Vydáno

25. 4. 2019

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5735-5

Kniha

Proceedings of the 25th Conference STUDENT EEICT 2019

Strany od

1

Strany do

4

Strany počet

4

BibTex

@inproceedings{BUT162316,
  author="Jakub {Bajzík}",
  title="DEEP LEARNING BASED SOUND EVENT RECOGNITION",
  booktitle="Proceedings of the 25th Conference STUDENT EEICT 2019",
  year="2019",
  pages="1--4",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5735-5"
}