Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

Duong Nguyen, Oliver S. Kirsebom, Fabio Frazao, Ronan Fablet, Stan Matwin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)
Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages765-769
Number of pages5
ISBN (Electronic)9781479981311
DOIs
Publication statusPublished - May 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: May 12 2019May 17 2019

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2019-May
ISSN (Print)1520-6149

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/TerritoryUnited Kingdom
CityBrighton
Period5/12/195/17/19

ASJC Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • acoustic modeling
  • novelty detection
  • stochastic recurrent neural network
  • variational recurrent neural network

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