Recognition of Emotions in Mexican Spanish Speech: An Approach Based on Acoustic Modelling of Emotion-Specific Vowels
Author
Caballero-Morales, Santiago-Omar
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
An approach for the recognition of emotions in speech is presented.
The target language is Mexican Spanish, and for this purpose a speech database was created.
The approach consists in the phoneme acoustic modelling of emotion-specific vowels.
For this, a standard phoneme-based Automatic Speech Recognition (ASR) system was built with Hidden Markov Models (HMMs), where different phoneme HMMs were built for the consonants and emotion-specific vowels associated with four emotional states (anger, happiness, neutral, sadness).
Then, estimation of the emotional state from a spoken sentence is performed by counting the number of emotion-specific vowels found in the ASR’s output for the sentence.
With this approach, accuracy of 87–100% was achieved for the recognition of emotional state of Mexican Spanish speech.
American Psychological Association (APA)
Caballero-Morales, Santiago-Omar. 2013. Recognition of Emotions in Mexican Spanish Speech: An Approach Based on Acoustic Modelling of Emotion-Specific Vowels. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1032592
Modern Language Association (MLA)
Caballero-Morales, Santiago-Omar. Recognition of Emotions in Mexican Spanish Speech: An Approach Based on Acoustic Modelling of Emotion-Specific Vowels. The Scientific World Journal No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1032592
American Medical Association (AMA)
Caballero-Morales, Santiago-Omar. Recognition of Emotions in Mexican Spanish Speech: An Approach Based on Acoustic Modelling of Emotion-Specific Vowels. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1032592
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032592