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A New Fangled Insinuation for Stress Affect Speech Classification

by Nachamai.M, T. Santhanam, C.P.Sumathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 19
Year of Publication: 2010
Authors: Nachamai.M, T. Santhanam, C.P.Sumathi
10.5120/409-606

Nachamai.M, T. Santhanam, C.P.Sumathi . A New Fangled Insinuation for Stress Affect Speech Classification. International Journal of Computer Applications. 1, 19 ( February 2010), 19-28. DOI=10.5120/409-606

@article{ 10.5120/409-606,
author = { Nachamai.M, T. Santhanam, C.P.Sumathi },
title = { A New Fangled Insinuation for Stress Affect Speech Classification },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 19 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 19-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number19/409-606/ },
doi = { 10.5120/409-606 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:51.514132+05:30
%A Nachamai.M
%A T. Santhanam
%A C.P.Sumathi
%T A New Fangled Insinuation for Stress Affect Speech Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 19
%P 19-28
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Demarcation in human interaction is through two channels: one transmits explicit messages; the other transmits implicit messages about the speakers themselves knowingly or unknowingly. Both linguistics and technology have invested enormous effort in trying to understand the first (explicit) channel, but the second (implicit) is not as well understood. First, building an emotion detection system makes it possible to assess the extent to which theoretical proposals explain people's everyday competence in understanding emotion. Second, model building enforces coherence. It is true that emotions play an important role in the making of speech. The deduction of emotions from speech is of recent origin and it is the primary focus of this research paper.

References
  1. R Cowie, E Douglas, N Tsapastsoulis, G Votis, S Kollias, W Fellenz, J G Taylor, "Emotion Recognition in Human Computer Interaction", IEEE Signal Processing Magazine, 18, (2001), 32-80.
  2. Doddington G, "Speaker Recognition based on Idiolectal differences between Speakers", In Proc. European Conference on Speech Communication and Technology, (2001), 2521-2524.
  3. Chateau N, Maffiolo V, Ehrette T, Alessandro C, "Modelling the Emotional Quality of Speech in a Telecommunication context", In Proc. of the International Conference on Auditory display, (2002), 269-274.
  4. Lee C M, Narayanan S S, "Toward Detecting Emotions in Spoken Dialogs", In Proc. of IEEE transactions on Speech and Audio Processing, 13(2), (2005), 293-303.
  5. Busso C, Deng Z, Yildirim S, Bulut M, Lee C M, Kazemzadeh A, Lee S, Neumann U, Narayanan S, "Analysis of Emotion Recognition using Facial expression, speech and Multimodal interfaces, ACM Press, (2004), 205-211.
  6. Kwon, Oh-Wook, Chan K, Hao j, Lee, Te Won, "Emotion Recognition by Speech Signals", In Proc. of Eurospeech, (2003), 125-128.
  7. Rothkrantz L J M, Wiggers P, Van Wees J W A, Van Vark R J, "Voice Stress Analysis", In Proc. of Text, Speech and Dialogues, (2004), 449-456.
  8. Huber R, Batliner A, Buckow J, North E, Warnke V, Neihmann H, "Recognition of Emotion in a realistic Dialogue System Scenario", In proc. of IEEE international Conference on Spoken Language Processing, 1, (2000), 665-668.
  9. Donn Morrison, Ruili Wang, Liyanange C De Silva, "Spoken Affect classification using Neural Networks", In Proc. of IEEE International Conference on Granular Computing, 2, (2005), 583-586.
  10. Andrel Mihalia, "Advanced Digital Signal processing", Speech Processing Lecture, 12, (2004).
  11. Altun H, Shawe Taylor J, Polar G, "New Feature Selection Frameworks in Emotion Recognition to evaluate the Informative power of Speech related Features", In Proc. of IEEE International Conference of Information science, Signal Processing and their Applications, (2007), 1-4.
  12. Ira Cohen, Ashutosh Garg, Thomas S Huang, "Emotion Recognition from Facial expressions using Multi level HMM", In Neural Information Processing systems workshop on Affective Computing, (2000).
  13. Levinson S E, Rabiner L R, Sondhi M M, "An Introduction to Application of the Theory of Probabilistic Functions of a Markov process to Automatic Speech Recognition", In Bell Lab System Technical Journal, 62(4), (1983), 1035-1072.
  14. Raymond Low, Roberto Togneri, "Speech recognition using the Probabilistic Neural Networks", In Proc. of IEEE International Conference on Spoken Language Processing, (1988).
  15. Panagiotis Zervas, Todor Ganchev, Nikos Fakotakis, "Negative Emotional State detection from Speech", In symposium on Communication systems, Networks and Digital Signal Processing, (2006), 310-313.
Index Terms

Computer Science
Information Sciences

Keywords

Affect Recognition Speech analysis Support vector machine (SVM) Probabilistic Neural Network(PNN) Hidden Markov Model(HMM)

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