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International Conference on Neural Information Processing

ICONIP 2021: Neural Information Processing pp 431–442Cite as

Grouped Echo State Network with Late Fusion for Speech Emotion Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13110))

Abstract

Speech Emotion Recognition (SER) has become a popular research topic due to having a significant role in many practical applications and is considered a key effort in Human-Computer Interaction (HCI). Previous works in this field have mostly focused on global features or time series feature representation with deep learning models. However, the main focus of this work is to design a simple model for SER by adopting multivariate time series feature representation. This work also used the Echo State Network (ESN) including parallel reservoir layers as a special case of the Recurrent Neural Network (RNN) and applied Principal Component Analysis (PCA) to reduce the high dimension output from reservoir layers. The late grouped fusion has been applied to capture additional information independently of the two reservoirs. Additionally, hyperparameters have been optimized by using the Bayesian approach. The high performance of the proposed SER model is proved when adopting the speaker-independent experiments on the SAVEE dataset and FAU Aibo emotion Corpus. The experimental results show that the designed model is superior to the state-of-the-art results.

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Acknowledgements

This work was supported by the Covid-19 Special Research Grant under Project CSRG008-2020ST, Impact Oriented Interdisciplinary Research Grant Programme (IIRG), IIRG002C-19HWB from University of Malaya, and the AUA-UAEU Joint Research Grant 31R188.

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Authors and Affiliations

  1. Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603, Kuala Lumpur, Malaysia

    Hemin Ibrahim & Chu Kiong Loo

  2. College of Information Technology, UAE University, Al Ain, United Arab Emirates

    Fady Alnajjar

Authors
  1. Hemin Ibrahim
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  2. Chu Kiong Loo
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  3. Fady Alnajjar
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Corresponding author

Correspondence to Chu Kiong Loo .

Editor information

Editors and Affiliations

  1. Sampoerna University, Jakarta, Indonesia

    Teddy Mantoro

  2. Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

  3. Sampoerna University, Jakarta, Indonesia

    Media Anugerah Ayu

  4. Murdoch University, Murdoch, WA, Australia

    Kok Wai Wong

  5. Universitas Indonesia, Depok, Indonesia

    Achmad Nizar Hidayanto

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Ibrahim, H., Loo, C.K., Alnajjar, F. (2021). Grouped Echo State Network with Late Fusion for Speech Emotion Recognition. In: Mantoro, T., Lee, M., Ayu, M.A., Wong, K.W., Hidayanto, A.N. (eds) Neural Information Processing. ICONIP 2021. Lecture Notes in Computer Science(), vol 13110. Springer, Cham. https://doi.org/10.1007/978-3-030-92238-2_36

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  • DOI: https://doi.org/10.1007/978-3-030-92238-2_36

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  • Print ISBN: 978-3-030-92237-5

  • Online ISBN: 978-3-030-92238-2

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