Auditory physiology based emotion recognition system

Wei Ting Lin, Kai Wen Liang, Pao Chi Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This research proposes an emotion recognition system that lies on mimicking the human auditory perception model based on two-stage auditory module, including the early stage, and the cortical stage. It stimulates the output auditory spectrogram of the early stage by MFCCs feature extraction, employs Gabor filter banks as spectral-temporal analysis in the cortical stage, and embeds CNN structure in the final stage to refine and fusion pattern of features. The experimental results show that the proposed method outperforms the existing methods in speech emotion recognition.

Original languageEnglish
Title of host publication2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages156-157
Number of pages2
ISBN (Electronic)9781728198026
DOIs
StatePublished - 13 Oct 2020
Event9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
Duration: 13 Oct 202016 Oct 2020

Publication series

Name2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
Country/TerritoryJapan
CityKobe
Period13/10/2016/10/20

Keywords

  • CNN
  • Emotion Recognition
  • Neural system

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