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Discriminating Confident and Non-confidant Speaker Based on Acoustic Speech Features

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 452))

Abstract

Nowadays affective computing is one of the most interesting and challenging research areas among the human computer interaction (HCI) researchers. One of the potential applications of emotion detection is to analyze confidence level of a speaker. In human-computer or human-human interaction systems, speech based confidence level check can provide users with improved services. Confidence level checking would be useful in various applications e.g. job recruitment process. In this paper a solution to similar kind of applications is proposed to differentiate between a confident person and non-confident person. A set of speech features have been selected empirically to support the concept that speech conveys not only the linguistic messages, but also emotional content. A protruding result has been sought on using SVM and KNN classifiers in determining confidence level of a human. The accuracy and efficiency of result is found good and reliable.

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References

  1. El Ayadi, M., Kamel, M.S., Karray, F.: Survey on speech emotion recognition: features, classification schemes, and databases. Pattern Recognit. 44.3, 572–587 (2011)

    Google Scholar 

  2. Ververidis, D., Kotropoulos, C.: Emotional speech recognition: resources, features, and methods. Speech Commun. 48(9), 1162–1181 (2006)

    Article  Google Scholar 

  3. Picard, R.W.: Affective computing: challenges. Int. J. Hum. Comput. Stud. 59(1), 55–64 (2003)

    Article  Google Scholar 

  4. Tao, J., Tan, T.: Affective Information Processing. Springer, London (2009)

    Book  Google Scholar 

  5. Chen, L., et al.: Speech emotion recognition: features and classification models. Digital Signal Process. 22.6, 1154–1160 (2012)

    Google Scholar 

  6. Rabiner, L.R., Schafer, R.W.: Digital processing of speech signals. Prentice Hall (1978)

    Google Scholar 

  7. Rabiner, L., Biing-Hwang, J.: Fundamentals of speech recognition (1993)

    Google Scholar 

  8. Liberman, M., et al.: Emotional prosody speech and transcripts LDC2002S28. Web Download. Linguistic Data Consortium, Philadelphia (2002)

    Google Scholar 

  9. Cairns, D.A., Hansen, J.H.L.: Nonlinear analysis and classification of speech under stressed conditions. J. Acoust. Soc. America 96(6), 3392–3400 (1994)

    Article  Google Scholar 

  10. Arrabothu, A.R., Chennupati, N., Yegnanarayana, B.: Syllable nuclei detection using perceptually significant features. In: INTERSPEECH, pp. 963–967 (2013)

    Google Scholar 

  11. Davis, S.B.: Acoustic characteristics of normal and pathological voices. Speech Language: Adv. Basic Res. Practice 1, 271–335 (1979)

    Google Scholar 

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Correspondence to Shrikant Malviya .

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© 2016 Springer Science+Business Media Singapore

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Malviya, S., Singh, V.K., Umrao, J. (2016). Discriminating Confident and Non-confidant Speaker Based on Acoustic Speech Features. In: Choudhary, R., Mandal, J., Auluck, N., Nagarajaram, H. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 452. Springer, Singapore. https://doi.org/10.1007/978-981-10-1023-1_18

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  • DOI: https://doi.org/10.1007/978-981-10-1023-1_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1021-7

  • Online ISBN: 978-981-10-1023-1

  • eBook Packages: EngineeringEngineering (R0)

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