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Automatic speech recognition- an approach for designing inclusive games

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Abstract

Computer games are now a part of our modern culture. However, certain categories of people are excluded from this form of entertainment and social interaction because they are unable to use the interface of the games. The reason for this can be deficits in motor control, vision or hearing. By using automatic speech recognition systems (ASR), voice driven commands can be used to control the game, which can thus open up the possibility for people with motor system difficulty to be included in game communities. This paper aims at find a standard way of using voice commands in games which uses a speech recognition system in the backend, and that can be universally applied for designing inclusive games. Present speech recognition systems however, do not support emotions, attitudes, tones etc. This is a drawback because such expressions can be vital for gaming. Taking multiple types of existing genres of games into account and analyzing their voice command requirements, a general ASRS module is proposed which can work as a common platform for designing inclusive games. A fuzzy logic controller proposed then is to enhance the system. The standard voice driven module can be based on algorithm or fuzzy controller which can be used to design software plug-ins or can be included in microchip. It then can be integrated with the game engines; creating the possibility of voice driven universal access for controlling games.

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References

  1. Carbonell N (2003) Multimodality: a step towards universal access. Universal Access in the Information Society 2(2):89–90

    Article  Google Scholar 

  2. Clarkson J, Coleman R, Keates S, Lebbon, C (eds.) (2003) Inclusive design: design for the whole population, pp 88–102

  3. Crawford,C (1982) The art of computer game design

  4. Czaja S, Lee C (2007) The impact of aging on access to technology. Universal Access in the Information Society 5(4):341–349

    Article  Google Scholar 

  5. Eddy SR (1996) Hidden Markov models. Current Opinion in Structural Biology 6(3):361–365

    Article  Google Scholar 

  6. Eurostat, Eurostat, Internet usage in the EU25 in 2005. 2006.

  7. Goodman J, Langdon PM, Clarkson PJ (2006) Equipping designers for inclusive design. Gerontechnology 4:229–233

    Article  Google Scholar 

  8. Goodman-Deane J, Keith S, Whitney G (2009) HCI and the older population. Universal Access in the Information Society 8(1):1–3

    Article  Google Scholar 

  9. Hawthorn D (2000) Possible implications of aging for interface designers. Interact Comput 12(5):507–528

    Article  Google Scholar 

  10. Hinckley K (2003) Input technologies and techniques. Lawrence Erlbaum

  11. Holzinger A (2008) Universal access to technology-enhanced learning. Universal Access in the Information Society 7(4):195–197

    Article  MathSciNet  Google Scholar 

  12. http://farfromneutral.com/kaizen/center-of-gravity-method/comment-page-1/

  13. http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol2/jp6/article2.html

  14. Langdon P, Clarkson J, Robinson P (2007) Designing accessible technology. Universal Access in the Information Society 6(2):117–118

    Article  Google Scholar 

  15. Neerincx M et al (2009) Attuning speech-enabled interfaces to user and context for inclusive design: technology, methodology and practice. Universal Access in the Information Society 8(2):109–122

    Article  Google Scholar 

  16. Picard RW (1997) Affective computing. MIT, Cambridge

    Google Scholar 

  17. van Leeuwen DA, Martin AF, Przybocki MA, Bouten JS (2006) NIST and TNO-NFI evaluations of automatic speaker recognition, Computer. Speech Language 20:128–158

    Article  Google Scholar 

  18. Van Wijngaarden SJ, Smeele PMT, Steeneken HJM (2001) A new method for testing communication efficiency and user acceptability of speech communication channels. Proceedings of Eurospeech 2001, Aalborg, September pp 1675–1678

  19. Ying H (1993) The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains. Automatica 29(6):1579–1589

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Moyen Mohammad Mustaquim.

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Mustaquim, M.M. Automatic speech recognition- an approach for designing inclusive games. Multimed Tools Appl 66, 131–146 (2013). https://doi.org/10.1007/s11042-011-0918-7

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  • DOI: https://doi.org/10.1007/s11042-011-0918-7

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