[1] Andrzej Czyzewski, Andrzej Kaczmarek1and Bozena Kostek, “Intelligent processing of stuttered speech”, Journal of Intelligent Information Systems, 10.1.1.109.715, 2003

[2] Hariharan.M, Vijean.V, Fook.C.Y, Yaacob.S, “Speech stuttering assessment using sample entropy and Least Square Support Vector Machine”, Signal Processing and its Applications (CSPA)”, ISBN: 978-1-4673-0960-8, pp. 240- 245, 2012

[3] Michael D. McClean, D.C. Stephen M. Tasko,MI Charles M. Runyan James “Orofacial Movements Associated With Fluent Speech in Persons Who Stutter” Journal of Speech, Language, and Hearing Research,Vol. 47, pp 294–303, April 2004 ©American Speech-LanguageHearing Association 1092-4388/04/4702-0294

[4] Jiang J, Lu C, Peng D, Zhu C, Howell P, “Classification of Types of Stuttering Symptoms Based on Brain Activity”, PLoS ONE, e39747. doi:10.1371/journal.pone.0039747,2012

[5] Arghavan Bahadorinejad, Farshad Almasganj, “ Delayed Auditory Feedback for Speech Disorders”, International Conference on Biomedical Engineering, 978- 1-4577-2, 2011.

[6] Marius Cristian, Adrian Graur, “Developing a Logopaedic Mobile Device Using FPGA”, Applied Computational Intelligence and Informatics, 1-4244-1234- X, 2007

[7] Walter Dosch, Nontasak Jacchum, “ Stuttering RemovalDeveloping Mealy and Moore Style Implementations of an Interactive Component”, Computer Systems and Applications, ISBN 978-1-4244-3807-5, pp. 302-308, 2009

[8] Juray Palfy, Jirt Pospichal, “ Pattern Search in Disfluent Speech”, IEEE International Workshop on Machoine Learning for Signal Processing, 2012

[9] K.M Ravikumar, R.Rajagopal, H.C.Nagaraj “An Approach for Objective Assessment of Stuttered Speech Using MFCC Features” ICGST, DSP Journal, Volume 9, Issue 1, June, 2009 pp. 19-24, june, 2009.

[10] W. reichl and G. Ruske, “ Syllable Segmentation of Continuous Speech with Artificial Neural Networks,” In processing of Eurospeech, Berlin, Vol.3,pp.1771-1774,1993.

[11] P.Howell, S. Sackin and K. Glenn,”Development of a two stage procedure for the automatic recognition of disfluencies in the speech of children who stutter: II. ANN recognition of repetitions and prolongations with supplied word segment markers,” Journal of speech Language and Hearing Research, Vol 40, pp. 1085, 1997

[12] Y.V. Geetha, K. Pratibha, R.Ashok, and S.K.Ravindra” Classification of childhood disfluencies using neural networks” Journal of Fluency disorders, vol.25, pp.99-117, 2000.

[13] Coneliu Octavian, “A Comparative Study of Feature Extraction Methods Applied to Continous Speech Recognition in Romanian Language”, 48th International Symposium ELMAR-2006, 07-09 june 2006,