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Parametric Speech Emotion Recognition Using Neural Network
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The aim of this thesis work is to investigate the algorithm of speech emotion recognition using MATLAB. Firstly, five most commonly used features are selected and extracted from speech signal. After this, statistical values such as mean, variance will be derived from the features. These data along with their related emotion target will be fed to MATLAB neural network tool to train and test to make up the classifier. The overall system provides a reliable performance, classifying correctly more than 82% speech samples after properly training. 

Place, publisher, year, edition, pages
2014. , 32 p.
Keyword [en]
Speech Emotion, Neural Network
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-17694OAI: oai:DiVA.org:hig-17694DiVA: diva2:756207
Subject / course
Electronics
Educational program
Electronics – bachelor’s programme (in eng)
Supervisors
Examiners
Available from: 2014-11-24 Created: 2014-10-16 Last updated: 2014-11-24Bibliographically approved

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fulltext(5278 kB)1410 downloads
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Department of Electronics, Mathematics and Natural Sciences
Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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