Feature vector classification based speech emotion recognition for service robots

IEEE Transactions on Consumer Electronics

Volumn 55, Issue 3, 2009, Pages 1590-1596

  Park, Jeong Sik ^a   Kim, Ji Hwan ^b   Oh, Yung Hwan ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Sogang University   (South Korea)

Author keywords

Feature vector classification; Service robot; Speech emotion recognition

Indexed keywords

CLASSIFICATION APPROACH; CONVENTIONAL METHODS; DISCRIMINATIVE VECTOR; EMOTION MODELS; EMOTION RECOGNITION; EMOTIONAL SPEECH; EMOTIONAL STATE; FEATURE VECTOR CLASSIFICATION; FEATURE VECTORS; HUMAN-LEVEL PERFORMANCE; MODEL RECONSTRUCTION; ROBUST MODELS; SERVICE ROBOT; SERVICE ROBOTS; SPEAKER CHARACTERISTICS; SPEAKER IDENTIFICATION; SPEAKING STYLES; SPEECH EMOTION RECOGNITION;

ACOUSTICS; FACE RECOGNITION; IMAGE RETRIEVAL; MOBILE ROBOTS; VECTORS;

SPEECH RECOGNITION;

EID: 70350300961     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2009.5278031     Document Type: Article

References (20)

1. B. Adams, C. Breazeal, R. Brooks, and B. Scassellati, "Humanoid robots: A new kind of tool," IEEE Intelligent Systems and Their Applications vol. 15, no. 4, pp. 25-31, Jul. 2000.
2. E. Kim, K. Hyun, S. Kim, and Y. Kwak, "Emotion interactive robot focus on speaker independently emotion recognition," Proc. Int. Conf. on Advanced Intelligent Mechatronics, pp. 1-6, Sep. 2007.
3. Y. Oh, J. Yoon, J. Park, M. Kim, and H. Kim, "A name recognition based call-and-come service for human robots," IEEE Transactions on Consumer Electronics, vol. 54, no. 2, pp. 247-253, May 2008.
4. M. Richins, "Measuring emotions in the consumption experience," Journal of Consumer Research, vol. 24, pp. 127-146, 1997.
5. R. Cowie, E. Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, and J. Taylor, "Emotion recognition in human-computer interaction," IEEE Signal Processing Magazine, vol. 18, pp. 32-80, 2001.
6. M. Shami and W. Verhelst, "An evaluation of the robustness of existing supervised machine learning approaches to the classification of emotions in speech," Speech Communication, vol. 49, no. 3, pp. 201-212, Mar. 2007.
7. T. Nwe, S. Foo, and L. Silva, "Speech emotion recognition using hidden Markov models," Speech Communication, vol. 41, no. 4, pp. 603-623, Nov. 2003.
8. P. Oudeyer, "The production and recognition of emotions in speech: Features and algorithms," Int. Journal of Human-Computer Studies, vol. 59, pp. 157-183, 2003.
9. L. Bosche, "Emotions, speech and the ASR framework," Speech Communication, vol. 40, no. 1, pp. 213-225, Apr. 2003.
10. S. Kwon and S. Narayanan, "Robust speaker identification based on selective use of feature vectors," Pattern Recognition Letters, vol. 28, pp. 85-89, 2007.
11. D. Ververidis and C. Kotropoulos, "Emotional speech recognition: Resources, features, and methods," Speech Communication, vol. 48, no. 9, pp. 1162-1181, Sep. 2006.
12. O. Kwon, K. Chan, J. Hao, and T. Lee, "Emotion recognition by speech signals," Proc. Eurospeech, pp. 125-128, 2003.
13. R. Tato, R. Santos, R. Kompe, and J. Pardo, "Emotional space improves emotion recognition," Proc. ICSLP, pp. 2029-2032, 2002.
14. E. Cowie, N. Campbell, R. Cowie, and P. Roach, "Emotional speech: Towards a new generation of databases," Speech Communication, vol. 40, no. 1, pp. 33-60, Apr. 2003.
15. R. Huang and C. Ma, "Toward a speaker-independent real time affect detection system," Proc. Int. Conf. on Pattern Recognition (ICPR) pp. 1204-1207, 2006.
16. J. Bilmes, "A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian Mixture and Hidden Markov Models," Technical Report, University of Berkeley, ICSI-TR-97-021, 1997.
17. H. Hu, M. Xu, and W. Wu, "GMM supervector based SVM with spectral features for speech emotion recognition," Proc. ICASSP, pp. 413-416, 2007.
18. G. Guo, C. Huang, and H. Jiang, "A comparative study on various confidence measures in large vocabulary speech recognition," Proc. ISCSLP, pp. 9-12, 2004.
19. M. Liberman, K. Davis, M. Grossman, N. Martey, and J. Bell, Emotional prosody speech and transcripts, Linguistic Data Consortium (LDC), University of Pennsylvania, PA, USA, Jul. 2002.
20. V. Sethu, E. Ambikairajah, and J. Epps, "Speaker normalization for speech-based emotion detection," Proc. Int. Conf. on Digital Signal Processing (DSP), pp. 611-614, 2007.