Scalogram as a Representation of Emotional Speech

It is very hard to implement the emotion recognition system based on spoken text. Computer applications have a huge problem with understanding non-literal meaning of statements as well as irony or a situational joke. The article describes how to represent emotional speech in the form of scalograms w...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Pawel Powroznik, Piotr Wojcicki, Slawomir W. Przylucki
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Discrete wavelet transforms emotion recognition fuzzy neural networks speech analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/afdbeeceaac04123a48be2bbf17859c2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:afdbeeceaac04123a48be2bbf17859c2
record_format	dspace
spelling	oai:doaj.org-article:afdbeeceaac04123a48be2bbf17859c22021-11-24T00:00:27ZScalogram as a Representation of Emotional Speech2169-353610.1109/ACCESS.2021.3127581https://doaj.org/article/afdbeeceaac04123a48be2bbf17859c22021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9612166/https://doaj.org/toc/2169-3536It is very hard to implement the emotion recognition system based on spoken text. Computer applications have a huge problem with understanding non-literal meaning of statements as well as irony or a situational joke. The article describes how to represent emotional speech in the form of scalograms which are the result of speech signal processing by Discrete Wavelet Transform (DTW). The method of processing scalograms in order to extract input data for natural language processing algorithms in order to recognise the emotional state is also presented. The following emotional states were considered during the research: joy, anger, boredom, sadness, fear and neutral state. The developed method has been tested on databases containing recordings of emotional speech in the following languages: Polish, English, German and Danish. Depending on the language and classifier used, obtained results ranged from over 62% to over 94%. The use of fuzzy classifiers greatly improves the time and efficiency of classification.Pawel PowroznikPiotr WojcickiSlawomir W. PrzyluckiIEEEarticleDiscrete wavelet transformsemotion recognitionfuzzy neural networksspeech analysisElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 154044-154057 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Discrete wavelet transforms emotion recognition fuzzy neural networks speech analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Discrete wavelet transforms emotion recognition fuzzy neural networks speech analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971 Pawel Powroznik Piotr Wojcicki Slawomir W. Przylucki Scalogram as a Representation of Emotional Speech
description	It is very hard to implement the emotion recognition system based on spoken text. Computer applications have a huge problem with understanding non-literal meaning of statements as well as irony or a situational joke. The article describes how to represent emotional speech in the form of scalograms which are the result of speech signal processing by Discrete Wavelet Transform (DTW). The method of processing scalograms in order to extract input data for natural language processing algorithms in order to recognise the emotional state is also presented. The following emotional states were considered during the research: joy, anger, boredom, sadness, fear and neutral state. The developed method has been tested on databases containing recordings of emotional speech in the following languages: Polish, English, German and Danish. Depending on the language and classifier used, obtained results ranged from over 62% to over 94%. The use of fuzzy classifiers greatly improves the time and efficiency of classification.
format	article
author	Pawel Powroznik Piotr Wojcicki Slawomir W. Przylucki
author_facet	Pawel Powroznik Piotr Wojcicki Slawomir W. Przylucki
author_sort	Pawel Powroznik
title	Scalogram as a Representation of Emotional Speech
title_short	Scalogram as a Representation of Emotional Speech
title_full	Scalogram as a Representation of Emotional Speech
title_fullStr	Scalogram as a Representation of Emotional Speech
title_full_unstemmed	Scalogram as a Representation of Emotional Speech
title_sort	scalogram as a representation of emotional speech
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/afdbeeceaac04123a48be2bbf17859c2
work_keys_str_mv	AT pawelpowroznik scalogramasarepresentationofemotionalspeech AT piotrwojcicki scalogramasarepresentationofemotionalspeech AT slawomirwprzylucki scalogramasarepresentationofemotionalspeech
_version_	1718416114835259392

Scalogram as a Representation of Emotional Speech

Ejemplares similares