Abstract
Cerebral palsy (CP) is a disability with condition where children have problem controlling their movement coordination as a result of damage in the part of the brain - cerebrum. It may also cause the speech fails to function properly which resulting CP disabled often communicate by using sign or body language. Speech impairment in CP disabled is common because of the connection error between the cortex and other parts of the brain such as the cerebellum. Therefore, most of the time CP disabled need to repeat their words or sentences in their conversations to make other people more understand. In this paper, the development of a flexible speech to text recognition system for CP disabled is presented. It is a system where the stored speech references in the database can be adapted flexibility according to speech of CP disabled. The development algorithms are including speech detection triggering, zero crossing rate (ZCR) for the endpoint detection, Mel-Frequency Cepstral Coefficients (MFCC) for the feature extraction, and dynamic time warping (DTW) for the pattern classification. In other words, this flexible system is based on the speech training of CP disabled and then recognizing their speech inputs. The results show the credibility of the developed recognition system by giving high accuracy of speech detection approximately which is ranged from 78% to 97% accuracy. This performance shows that the developed flexible speech recognition system is ready to give positive impacts to the CP disabled in terms of daily conversation with normal human.
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
World Health Organization Page (2010), http://www.who.int/topics/disabilities/en/
Menendez-Pidal, X., Polikoff, J.B., Peters, S.M., Leonzio, J.E., Bunnell, H.T.: The Nemours Database of Dysarthric Speech. In: Fourth International Conference on Spoken Language Proceedings (ICSLP 1996), vol. 3, pp. 1962–1965 (1996)
Baram, Y., Lenger, R.: Gait Improvement in Patients with Cerebral Palsy by Visual and Auditory Feedback. In: Virtual Rehabilitation International Conference, pp. 146–149 (2009)
Pokhariya, H., Kulkarni, P., Kantroo, V., Jindal, T.: Navigo–Accessibility Solutions for Cerebral Palsy Affected. In: Proceedings of the International Conference on Computational Intelligence for Modeling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA 2006), p. 143 (2006)
Viloria, N., Bravo, R., Bueno, A., Quiroz, A., Diaz, M., Salazar, A., Robles, M.: Dynamic Electromyography Evaluation of Spastic Hemiplegia using a Linear Discriminator. In: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2, pp. 1866–1869 (2004)
Roy, D.M., Panayi, M.: Computer Recognition of Athetoid Cerebral Palsy Movement using Neural Networks. In: Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Engineering Advances: New Opportunities for Biomedical Engineers, vol. 1, pp. 458–459 (1994)
Lopez, J.J.V., Sibenaller, S., Ding, D., Riviere, C.N.: Toward Filtering of Athetoid Motion with Neural Networks. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), pp. 1434–1436 (2007)
Pierce, S., Johnston, T.E., Smith, B.T., Orlin, M., McCarthy, J.J.: Effect of Percutaneous Electrical Stimulation on Ankle Kinematics in Children with Cerebral Palsy. In: Proceedings of the IEEE 28th Annual Northeast Bioengineering Conference, pp. 81–82 (2002)
Gold, J.C.: Cerebral Palsy. Enslow Publishers Inc., Berkeley Heights (2001)
Shore, J., Burton, D.: Discrete Utterance Speech Recognition without Time Alignment. IEEE Transactions on Information Theory 29(4), 473–491 (1983)
Sy, B.K., Horowitz, D.M.: A Statistical Causal Model for the Assessment of Dysarthric Speech and the Utility of Computer-Based Speech Recognition. IEEE Transactions on Biomedical Engineering 40(12), 1282–1298 (1993)
Patel, R.: Identifying Information Bearing Prosodic Parameters in Severely Dysarthric Speech. Doctoral Dissertation, University of Toronto, Canada (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mohamad Jamil, M.H., Al-Haddad, S.A.R., Kyun Ng, C. (2011). A Flexible Speech Recognition System for Cerebral Palsy Disabled. In: Abd Manaf, A., Zeki, A., Zamani, M., Chuprat, S., El-Qawasmeh, E. (eds) Informatics Engineering and Information Science. ICIEIS 2011. Communications in Computer and Information Science, vol 251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25327-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-25327-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25326-3
Online ISBN: 978-3-642-25327-0
eBook Packages: Computer ScienceComputer Science (R0)