Result Details

Convolutional Neural Networks and X-Vector Embedding for DCASE2018 Acoustic Scene Classification Challenge

ZEINALI, H.; BURGET, L.; ČERNOCKÝ, J. Convolutional Neural Networks and X-Vector Embedding for DCASE2018 Acoustic Scene Classification Challenge. Proceedings of DCASE 2018 Workshop. Surrey: Tampere University of Technology, 2018. p. 1-5. ISBN: 978-952-15-4262-6.
Type
conference paper
Language
English
Authors
Zeinali Hossein, Ph.D., DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract

In this paper, the Brno University of Technology (BUT) team submissionsfor Task 1 (Acoustic Scene Classification, ASC) of theDCASE-2018 challenge are described. Also, the analysis of differentmethods on the leaderboard set is provided. The proposedapproach is a fusion of two different Convolutional Neural Network(CNN) topologies. The first one is the common two-dimensionalCNNs which is mainly used in image classification. The second oneis a one-dimensional CNN for extracting fixed-length audio segmentembeddings, so called x-vectors, which has also been used inspeech processing, especially for speaker recognition. In additionto the different topologies, two types of features were tested: logmel-spectrogram and CQT features. Finally, the outputs of differentsystems are fused using a simple output averaging in the bestperforming system. Our submissions ranked third among 24 teamsin the ASC sub-task A (task 1a).

Keywords

Audio scene classification, Convolutional neuralnetworks, Deep learning, x-vectors, Regularized LDA

URL
Published
2018
Pages
1–5
Proceedings
Proceedings of DCASE 2018 Workshop
Conference
Detection and Classification of Acoustic Scenes and Events
ISBN
978-952-15-4262-6
Publisher
Tampere University of Technology
Place
Surrey
BibTeX 
@inproceedings{BUT155111,
  author="Hossein {Zeinali} and Lukáš {Burget} and Jan {Černocký}",
  title="Convolutional Neural Networks and X-Vector Embedding for DCASE2018 Acoustic Scene Classification Challenge",
  booktitle="Proceedings of DCASE 2018 Workshop",
  year="2018",
  pages="1--5",
  publisher="Tampere University of Technology",
  address="Surrey",
  isbn="978-952-15-4262-6",
  url="http://dcase.community/documents/workshop2018/proceedings/DCASE2018Workshop_Zeinali_149.pdf"
}
Files
Projects
Information mining in speech acquired by distant microphones, MV, Bezpečnostní výzkum České republiky 2015-2020, VI20152020025, start: 2015-10-01, end: 2020-09-30, completed
International mobility of researchers at the Brno University of Technology, EU, OPVVV PO2 Mezinárodní mobilita výzkumných pracovníků, EF16_027/0008371, CZ.02.2.69/0.0/0.0/16_027/0008371, start: 2018-01-01, end: 2022-09-30, running
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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