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Integrating User-Centred Design in the Development of a Silent Speech Interface Based on Permanent Magnetic Articulography

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Abstract

A new wearable silent speech interface (SSI) based on Permanent Magnetic Articulography (PMA) was developed with the involvement of end users in the design process. Hence, desirable features such as appearance, portability, ease of use and light weight were integrated into the prototype. The aim of this paper is to address the challenges faced and the design considerations addressed during the development. Evaluation on both hardware and speech recognition performances are presented here. The new prototype shows a comparable performance with its predecessor in terms of speech recognition accuracy (i.e. ~ 95 % of word accuracy and ~ 75 % of sequence accuracy), but significantly improved appearance, portability and hardware features in terms of miniaturization and cost.

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References

  1. Fagan, M.J., Ell, S.R., Gilbert, J.M., Sarrazin, E., Chapman, P.M.: Development of a (silent) speech recognition system for patients following laryngectomy. Med. Eng. Phys.30(4), 419–425 (2008)

    Article  Google Scholar 

  2. Gilbert, J.M., Rybchenko, S.I., Hofe, R., Ell, S.R., Fagan, M.J., Moore, R.K., Green, P.D.: Isolated word recognition of silent speech using magnetic implants and sensors. Med. Eng. Phys.32(10), 1189–1197 (2010)

    Article  Google Scholar 

  3. Ell, S.R., Mitchell, A.J., Parker, A.J.: Microbial colonisation of the Groningen speaking valve and its relationship to valve failure. Clin. Otolaryngol.20, 555–556 (1995)

    Article  Google Scholar 

  4. Ell, S.R., Mitchell, A.J., Clegg, R.T., Parker, A.J.: Candida: the cancer of silastic. J. Laryngol. Otol.110(3), 240–242 (1996)

    Article  Google Scholar 

  5. Heaton, J.M., Parker, A.J.: Indwelling trachea-oesophageal voice prostheses post-laryngectomy in Sheffield, UK: a 6-year review. Acta Otolaryngol.114, 675–678 (1994)

    Article  Google Scholar 

  6. Denby, B., Schultz, T., Honda, K., Hueber, T., Gilbert, J.M., Brumberg, J.S.: Silent speech interfaces. Speech Commun.52(4), 270–287 (2010)

    Article  Google Scholar 

  7. Hofe, R., Ell, S.R., Fagan, M.J., Gilbert, J.M., Green, P.D., Moore, R.K., Rybchenko, S.I.: Small-vocabulary speech recognition using silent speech interface based on magnetic sensing. Speech Commun.55(1), 22–32 (2013)

    Article  Google Scholar 

  8. Hofe, R., Bai, J., Cheah, L.A., Ell, S.R., Gilbert, J.M., Moore, R.K., Green, P.D.: Performance of the MVOCA silent speech interface across multiple speakers. In: Proceedings of the 14th INTERSPEECH, pp. 1140-1143, Lyon, France (2013)

    Google Scholar 

  9. Hofe, R., Ell, S.R., Fagan, M.J., Gilbert, J.M., Green, P.D., Moore, R.K., Rybchenko, S.I.: Speech synthesis parameters generation for the assistive silent speech interface MVOCA. In: Proceedings of the 12th INTERSPEECH, pp. 3009–3012, Florence, Italy (2011)

    Google Scholar 

  10. Gonzalez, J.A., Cheah, L.A., Bai, J., Ell, S.R., Gilbert, J.M., Moore, R.K., Green, P.D.: Analysis of phonetic similarity in a silent speech interface based on permanent magnetic articulography. In: Proceedings of the 15th INTERSPEECH, pp. 1018–1022, Singapore (2014)

    Google Scholar 

  11. Bright, A.K., Conventry, L.: Assistive technology for older adults: psychological and socio-emotional design requirements, In: Proceedings of the 6th International Conference on Pervasive Technologies Related to Assistive Environments, pp. 1–4, Rhodes, Greece (2013)

    Google Scholar 

  12. Hirsch, T., Forlizzi, J., Goetz, J., Stoback, J., Kurtx, C.: The ELDer project: Social and emotional factors in the design of eldercare technologies. In: Proceedings on the 2000 Conference of Universal Usability, pp. 72–79, Arlington, USA (2000)

    Google Scholar 

  13. Martin, J.L., Murphy, E., Crowe, J.A., Norris, B.J.: Capturing user requirements in medical devices development: the role of ergonomics. Physiol. Meas.27(8), R49–R62 (2006)

    Article  Google Scholar 

  14. Cook, A.M., Polgar, J.M.: Assistive Technologies: Principles and Practice, 3rd edn. Mosby, London (2008)

    Google Scholar 

  15. Leonard, R.G.: A database for speaker-independent digit recognition. In: International Conference on Acoustic, Speech and Signal Processing, pp. 328–331, San Diego, USA (1984)

    Google Scholar 

  16. Young, S., Everman, G., Gales, M., Hain, T., Kershaw, D., Liu, X., Moore, G., Odell, J., Ollason, D., Povery, D., Valtchev, V., Woodland, P.: The HTK Book (for HTK version 3.4.1), Cambridge University Press, Cambridge (2009)

    Google Scholar 

  17. Rabiner, L.R.: A tutorial on Hidden Markov models and selected applications in speech recognition. Proc. IEEE77, 257–286 (1989)

    Article  Google Scholar 

  18. Maier-Hein, L., Metze, F., Schultz, T., Waibel, A.: Session independent non-audible speech recognition using surface electromyography. In: Automatic Speech Recognition and Understanding Workshop, pp. 331–336, Cancun, Mexico (2005)

    Google Scholar 

  19. Wand, M., Schultz, T.: Session-independent EMG-based speech recognition. In: Proceedings of the 4th International Conference on Bio-inspired Systems and Signal Processing, pp. 295–300, Rome, Italy (2011)

    Google Scholar 

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Acknowledgements

The work is an independent research funded by the National Institute for Health Research (NIHR)’s Invention for Innovation Programme. The views stated are those of the authors and not necessary reflecting the thoughts of the sponsor.

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Authors and Affiliations

  1. School of Engineering, The University of Hull, Kingston upon Hull, UK

    Lam A. Cheah, James M. Gilbert, Jie Bai, Michael J. Fagan & Sergey I. Rychenko

  2. Department of Computer Science, The University of Sheffield, Sheffield, UK

    Jose A. Gonzalez, Roger K. Moore & Phil D. Green

  3. Hull and East Yorkshire Hospitals Trust, Castle Hill Hospital, Cottingham, UK

    Stephen R. Ell

Authors
  1. Lam A. Cheah

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  2. James M. Gilbert

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  3. Jose A. Gonzalez

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  4. Jie Bai

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  5. Stephen R. Ell

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  6. Michael J. Fagan

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  7. Roger K. Moore

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  8. Phil D. Green

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  9. Sergey I. Rychenko

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Corresponding author

Correspondence toLam A. Cheah.

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Editors and Affiliations

  1. Instituto de Telecomunicações, Lisboa, Portugal

    Ana Fred

  2. New University of Lisbon, Lisboa, Portugal

    Hugo Gamboa

  3. FhP-AICOS, Porto, Portugal

    Dirk Elias

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© 2015 Springer International Publishing Switzerland

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Cheah, L.A.et al. (2015). Integrating User-Centred Design in the Development of a Silent Speech Interface Based on Permanent Magnetic Articulography. In: Fred, A., Gamboa, H., Elias, D. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2015. Communications in Computer and Information Science, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-27707-3_20

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