Recognition of human emotion from a speech signal based on plutchik's model

International Journal of Electronics and Telecommunications

Volumn 58, Issue 2, 2012, Pages 165-170

  Kamińska, Dorota ^a   Pelikant, Adam ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

emotion detection; Plutchik's wheel of emotion; speech signal

Indexed keywords

CONTINUOUS SPEECH RECOGNITION; NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION; SEMANTICS; SPEECH COMMUNICATION;

EMOTION DETECTION; EMOTIONAL STATE; EXPRESSIVE SPEECH; K NEAREST NEIGHBOR ALGORITHM; MACHINE RECOGNITION; PLUTCHIK'S WHEEL OF EMOTION; RECOGNITION ACCURACY; SPEECH SIGNALS;

SPEECH RECOGNITION;

EID: 84864622841     PISSN: 20818491     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10177-012-0024-4     Document Type: Article

References (30)

1. R. Plutchik, "The nature of emotion." American Scientist, vol. 89, July-August 2001.
2. G. Iriea, T. Satou, A. Kojima, T. Yamasaki, and K. Aizawa, "Affective audio-visual words and latent topic driving model for realizing movie affective scene classification." IEEE Transactions on Multimedia, vol. 12, October 2010.
3. Y. Miyakoshi and S. Kato, "Facial emotion detection considering partial occlusion of face using bayesian network." 2011 IEEE Symposium on Computers and Informatics.
4. Z. Yang, "Multimodal datafusion for aggression detection in train compartments." February 2006.
5. T. Kostoulas, T. Ganchev, and N. Fotakis, "Study on speaker-independent emotion recognition from speech on real-world data," Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction 2008.
6. M. Kotti, F.Patern'o, and C. Kotropoulos, "Speaker-independent negative emotion recognition," 2010 2nd International Workshop on Cognitive Information Processing.
7. J. Cichosz and K. Slot, "Low-dimensional feature space derivation for emotion recognition." ICSES 2006.
8. M. Lugger and B. Yang, "The relevance of voice quality features in speaker independent emotion recognition," Proc. ICASSP, 2007.
9. Z. Ciota, Metody przetwarzania sygnał́ow akustycznych w komputerowej analizie mowy, 2010, in Polish.
10. T. Polzehl, A. Schmitt, and F. Metze, "Approaching multi-lingual emotion recognition from speech-on language dependency of acoustic/prosodic features for anger recognition."
11. N. Kamaruddin and A. Wahab, "Driver behavior analysis through speech emotion understanding." Intelligent Vehicles Symposium, 2010.
12. R. Hidayati, I. Purnama, and M. Purnomo, "The extraction of acoustic features of infant cry for emotion detection based on pitch and formants." Proc. Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), November 2010.
13. E. Mower, M. Matarić, and S. Narayanan, "A framework for automatic human emotion classification using emotion profiles." Audio, Speech, and Language Processing, vol. 19, July 2011.
14. L. Vidrascu and L. Devillers, "Detection of real-life emotions in call centers." Proc. Eurospeech Lizbona, 2005.
15. K. Izdebski, Emotions in the Human Voice Volume I Foundations, 2007.
16. Y. Wang and L. Guan, "Recognizing human emotional state from audiovisual signals." Proc. IEEE Transactions on multimedia, vol. 10, 2008.
17. Y. Yeqing and T. Tao, "An new speech recognition method based on prosodic analysis and svm in zhuang language," Proc. 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, 2011.
18. A. Janicki and M. Turkot, "Rozpoznawanie stanu emocjonalnego ḿowcy z wykorzystaniem maszyny wektor ́ow wspierajcych svm," Proc. KSTiT, 2008, in Polish.
19. A. Shaukat and K. Chen, "Emotional state recognition from speech via soft-competition on different acoustic representations." Proc. Neural Networks (IJCNN), 2011.
20. A. Razak, R. Komiya, and M. Abidin, "Comparison between fuzzy and nn method for speech emotion recognition." Proc. Information Technology and Applications, ICITA 2005.
21. T. Nwe, S. Foo, and L. D. Silva, "Detection of stress and emotion in speech using traditional and fft based log energy features." Proc. ICICSFCM 2003.
22. K. Soltani and R. Ainon, "Speech emotion detection based on neural networks." Proc. Signal Processing and Its Applications 2007.
23. M. Gaurav, "Performance analysis of spectral and prosodic features and their fusion for emotion recognition in speech." Proc. Spoken Language Technology Workshop 2008.
24. http://www.exaudios.com/.
25. K. Scherer, R. Banse, and H. Wallbott, "Emotion inferences from vocal expression correlate across languages and cultures." Journal of Cross-Cultural Psychology, vol. 32, January 2001.
26. T. Zieli ́nski, Cyfrowe przetwarzanie sygnał́ow. Od teorii do zastosowán., October 2009., in Polish.
27. https://www.msu.edu/course/.
28. S. Narayanan, C. Busso, and S. Lee, "Analysis of emotionally salient aspects of fundamental frequency for emotion detection." IEEE Transactions on audio, speech, and language processing, 2009.
29. C. Basztura, Komputerowe systemy diagnostyki akustycznej., Wydawnictwo Naukowe PWN Warszawa 1996, in Polish.
30. K. Slot, Rozpoznawanie biometryczne., December 2010, in Polish.