automatic emotion recognition in speech: possibilities and significance

Clicks: 165
ID: 257861
2009
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Abstract
Automatic speech recognition and spoken language understanding are crucial steps towards a natural humanmachine interaction. The main task of the speech communication process is the recognition of the word sequence, but the recognition of prosody, emotion and stress tags may be of particular importance as well. This paper discusses thepossibilities of recognition emotion from speech signal in order to improve ASR, and also provides the analysis of acoustic features that can be used for the detection of speaker’s emotion and stress. The paper also provides a short overview of emotion and stress classification techniques. The importance and place of emotional speech recognition is shown in the domain of human-computer interactive systems and transaction communication model. The directions for future work are given at the end of this work.
Reference Key
bojani2009electronicsautomatic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Milana Bojanić;Vlado Delić
Journal biology bulletin of the academy of sciences of the ussr
Year 2009
DOI
DOI not found
URL
http://electronics.etfbl.net/journal/El_2009_2_Complete.pdf
Keywords
stress electronics nuclear engineering

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