Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network

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ID: 273213
2020
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Abstract
Speech emotion recognition (SER) plays a significant role in human-machine interaction. Emotion recognition from speech and its precise classification is a challenging task because a machine is unable to understand its context. For an accurate emotion classification, emotionally relevant features mu …
Reference Key
m2020sensorsimpact Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Farooq M;Hussain F;Baloch NK;Raja FR;Yu H;Zikria YB;;
Journal sensors
Year 2020
DOI
DOI not found
URL
https://www.pubmed.gov/33113907/
Keywords
support vector machine neural networks National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine computer* algorithms emotions fawad hussain yousaf bin zikria pmid:33113907 pmc7660211 doi:10.3390/s20216008 misbah farooq speech*

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