Reconstructing the Voice of an Individual Following Laryngectomy

References

• Angelo, D. H., Kokosa, S. M., & Jones, S. D. (1996). Family perspective on augmentative and alternative communication: Families of adolescents and young adults. Augmentative and Alternative Communication, 12, 13–22.
   Google Scholar
• Black, A. W., Taylor, P., & Caley, R. (2009). The Festival speech synthesis system. Retrieved 15 June 2010 from: http://www.cstr.ed.ac.uk/projects/festival
   Google Scholar
• Bunnell, H. T., Pennington, C., Yarrington, D., & Gray J. (1995). Automatic personal synthetic voice construction. Proceedings of Interspeech 1995, 89–92.
   Google Scholar
• Chambers, J. K. (2009). Sociolinguistic theory: Linguistic variation and its social significance (language in society)Oxford, UK: Wiley-Blackwell.
   Google Scholar
• Creer, S., Green, P., Cunningham, S., & Yamagishi, J. (2009). Personalizing synthetic voices for people with progressive speech disorders: Judging voice similarity. Proceedings of InterSpeech 2009, 1427–1430.
   Google Scholar
• Danker, H., Wollbrück, D., Singer, S., Fuchs, M., Brähler, E., & Meyer, A. (2010). Social withdrawal after laryngectomy, European Archives of Oto-Rhino-Laryngology, 267, 593–600.
   PubMed Web of Science ®Google Scholar
• Fowler, C. A., Galantucci, B., & Saltzman, E. (2003). Motor theories of speech perception. In Handbook of brain theory and neural networksA.Arbib. (pp. 705–707). Boston, MA: MIT Press
   Google Scholar
• Fox, L. E., & Rau, M. T. (2001). Augmentative and alternative communication for adults following glossectomy and laryngectomy surgery. Augmentative and Alternative Communication, 17, 161–166.
   Google Scholar
• Fraser, M., & King, S. (August, 2007). The Blizzard challenge 2007. Retrieved from: http://festvox.org/blizzard/bc2007/index.html
   Google Scholar
• Hetzroni, O. E., & Harris, O. L. (1996). Cultural aspects in the development of AAC users. Augmentative and Alternative Communication, 12, 52–58.
   Google Scholar
• Holmes, J. N., & Holmes, W. (2001). Speech recognition and synthesisLondon-New York: Taylor and Francis.
   Google Scholar
• Kawahara, H., Estille, J., & Fujimurad, O. (2001). Aperiodicity extraction and control using mixed mode excitation and group delay manipulation for a high quality speech analysis, modification and synthesis system (STRAIGHT) Proceedings of the 2nd Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA) conference (pp. 1–6. Firenze, Italy.
   Google Scholar
• Karaiskos, V., King, S., Clark, R. A. J., & Mayo, C. (2008). The Blizzard Challenge 2008. dc.identifier.uri http://hdl.handle.net/1842/3829
   Google Scholar
• Kominek, J., & Black, A. W. (2004). The CMU Arctic speech databases. Proceedings of the 5th annual ISCA workshop on speech synthesis(pp. 223–224). Pittsburgh, PA.
   Google Scholar
• Lasker, J. P., & Bedrosian, J. L. (2001). Promoting acceptance of augmentative and alternative communication by adults with acquired communication disorders. Augmentative and Alternative Communication, 17, 141–153.
   Google Scholar
• Light, J. (1988). Interaction involving individuals using augmentative and alternative communication systems: State of the art and future directions. Augmentative and Alternative Communication, 4, 66–82.
   Google Scholar
• Murphy, J. (2004). “I prefer contact this close”: Perceptions of AAC by people with motor neuron disease and their communication partners. Augmentative and Alternative Communication, 20, 259–271.
   Google Scholar
• Nalbadian, M., Nikolaou, A., Nikolaidis, V., Petridis, D., Themelis, C., & Danilidis, I. (2001). Factors influencing quality of life in laryngectomized patients. European Archives of Otorhinolaryngology, 258, 336–340.
   PubMed Web of Science ®Google Scholar
• O'Keefe, B. M., Brown, L., & Schuller, R. (1998). Identification and rankings of communication aid features by five groups. Augmentative and Alternative Communication, 14, 37–50.
   Google Scholar
• Parette, P., & Huer, M. B. (2002). Working with Asian American families whose children have augmentative and alternative communication needs. Journal of Special Education Technology, 17, 5–13.
   Google Scholar
• Sjölander, K., & Beskow, J. (2009). WaveSurfer 1.8.5. Retrieved 15 June 2010 from: www.speech.kth/se/wavesurfer
   Google Scholar
• Smith, M. M. (2005). The dual challenges of aided communication and adolescence. Augmentative and Alternative Communication, 21, 76–79.
   Google Scholar
• Taylor, P., Caley, R., Black, A. W., & King, S. (2009). Edinburgh Speech Tools Library 1.2. Retrieved 15 June 2010 from: www.cstr.ed.ac.uk/projects/speech_tools/manual-1.2.0/book1.htm
   Google Scholar
• Tokuda, K., Zen, H., & Black, A. W. (2002). An HMM-based speech synthesis system applied to English. Proceedings of the IEEE Speech Synthesis workshop(pp. 227–230). Santa Monica, CA.
   Google Scholar
• Tokuda, K., Zen, H., Yamagishi, J., Masuko, Y., Sako, S., Black, A., & Nose, T. (2008). The HMM-based speech synthesis system (HTS) Version 2.1. Retrieved 15 June 2010 from: http://hts.sp.nitech.ac.jp/
   Google Scholar
• Wells, J. C. (1982). Accents of English: An introductionCambridge, MA: Cambridge University Press.
   Google Scholar
• Yamagishi, J., Zen, J. H., Wu, Y.J., Toda, T., & Tokuda, K. (2008). The HTS-2008 system: Yet another evaluation of the speaker-adaptive HMM-based speech synthesis system. Retrieved from: http://hdl.handle.net/1842/3905
   Google Scholar
• Zen, H., Tokuda, K., & Black, A. (2009). Statistical parametric speech synthesis. Speech Communication, 51, 1039–1064.
   Web of Science ®Google Scholar