Abstract
This paper deals with development of speaker recognition system in emotional environments. In this paper, Mel-frequency cepstral coefficients (MFCC) have been used to represent the speaker specific information. A simulated speech corpus of Hindi language are used to check the performance of speaker recognition in emotional environment. The emotions included in this study are anger, neutral, sad, happy and surprise. Emotion recognition models are developed using Gaussian mixture models. Performance of speaker recognition is studied in emotional environment. The results show that emotions play vital role in speaker recognition.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Picard, R.W.: Affective Computing, MIT Media Lab Perceptual Computing Section Tech. Rep., no. 321 (1995)
Portal, T.H.: Research on emotions and human machine interaction, http://emotion-research.net
Zheng, C., Yuan, B.Z.: Text-dependent speaker identification using circular hidden Markov models. In: Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, vol. 1, pp. 580–582 (March 1988)
Furui, S.: Speaker-dependent-feature-extraction, recognition, and processing techniques. Speech Communication 10, 505–520 (1991)
Shahin, I.: Using second-order hidden Markov model to improve speaker identification recognition performance under neutral condition. In: Proc. 10th IEEE Int. Conf. on Electronics, Circuits and Systems, ICECS 2003, Sharjah, United Arab Emirates, pp. 124–127 (December 2003)
Koike, K., Suzuki, H., Saito, H.: Prosodic parameters in emotional speech. In: Proc. of Int. Conf. on Spoken Language Processing ICSLP 1998, November 30-December 4, pp. 679–682 (1998)
Wu, W., Zheng, T.F., Xu, M.X., Bao, H.J.: Study on speaker verification on emotional speech. In: Proc. of Int. Conf. on Spoken Language Processing, INTERSPEECH 2006, pp. 2102–2105 (September 2006)
Tao, J., Kang, Y., Li, A.: Prosody conversion from neutral speech to emotional speech. IEEE Trans. on Audio, Speech, and Language Processing 14(4), 1145–1154 (2006)
Ghiurcau, M.V., Rusu, C., Astola, J.: Speaker recognition in an emotional environment. In: Proceedings of SPAMEC 2011, Cluj-Napoca, Romania (2011)
Shahin, I.: Speaker Identification in Emotional Environments. Iranian Journal of Electrical and Computer Engineering 8(1) (Winter-Spring 2009)
Koolagudi, S.G., Krothapalli, R.S.: Two stage emotion recognition based on speaking rate. International Journal of Speech Technology 14 (2011)
Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., Weiss, B.: A database of German emotional speech. In: Proc. Interspeech 2005, pp. 1517–1520 (2005)
Rajeswara Rao, R., Nagesh Kamakshi Prasad, A., Ephraim Babu, K.: Text-Dependent Speaker Recognition System for Indian Languages, November 5. JNT University of Hyderabad, India (2007)
Zhou, Y., Wang, J., Zhang, X.: Research on Adaptive Speaker Identification Based on GMM. In: 2009 International Forum on Computer Science-Technology and Applications (2009)
Abushariah, A.A.M., Gunawan, T.S., Khalifa, O.O.: English Digits Speech Recognition System Based on Hidden Markov Models. In: International Conference on Computer and Communication Engineering (ICCCE 2010), Kuala Lumpur, Malaysia, May 11-13 (2010)
Koolagudi, S.G., Reddy, R., Sreenivasa Rao, K.: Emotion Recognition from Speech Signal using Epoch Parameters. IEEE (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Koolagudi, S.G., Sharma, K., Sreenivasa Rao, K. (2012). Speaker Recognition in Emotional Environment. In: Mathew, J., Patra, P., Pradhan, D.K., Kuttyamma, A.J. (eds) Eco-friendly Computing and Communication Systems. ICECCS 2012. Communications in Computer and Information Science, vol 305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32112-2_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-32112-2_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32111-5
Online ISBN: 978-3-642-32112-2
eBook Packages: Computer ScienceComputer Science (R0)