Profile
International Journal of Computer & Software Engineering Volume 4 (2019), Article ID 4:IJCSE-147, 2 pages
https://doi.org/10.15344/2456-4451/2019/147
Commentary
Alzheimer's Disease: New Challenges for Speech Analysis

Jesús B. Alonso1,* and María L. Barragán Pulido2

1Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain
2Despacho D-102, Pabellón B, Ed. de Electrónica y Comunicaciones, Campus de Tafira, 35017 - Las Palmas, Spain
Dr. Jesús B. Alonso, Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain; E-mail: jesus.alonso@ulpgc.es
10 June 2019; 27 June 2019; 29 June 2019
Alonso JB, Pulido MLB (2019) Alzheimer's Disease: New Challenges for Speech Analysis. Int J Comput Softw Eng 4: 147. doi: https://doi.org/10.15344/2456-4451/2019/147

References

  1. Escobar LMV, Afanador NP (2010) Calidad de vida del cuidador familiar y dependencia del paciente con Alzheimer. Av en Enfermería 28:116-128. View
  2. Lenguaje EL, La EN, Alzheime NDA (1988) El lenguaje en la enfermedad de alzheimer. Foniatría y Audiol 120: 199-205.
  3. Sjogren T, Sjogren H, Lindgren AG (1952) Morbus Alzheimer and morbus Pick; a genetic, clinical and patho-anatomical study. Acta Psychiatr Neurol Scand Suppl 82: 1-152.
  4. Allison RS (1962) The Senile Brain: A Clinical Study. Posgraduate Med J. View
  5. Laske C, Sohrabi HR, Frost SM, López-de-Ipiña K, Garrard P, et al. (2015) Innovative diagnostic tools for early detection of Alzheimer’s disease. Alzheimer’s Dement 11: 561-578. View
  6. Kim Y, Lee H, Provost EM (2013) Deep learning for robust feature generation in audiovisual emotion recognition. Speech and Signal Processing (ICASSP), 2013 IEEE International Conference. View
  7. Lopez-de-Ipiña K (2012) Alzheimer disease diagnosis based on automatic spontaneous speech analysis,” in International Joint Conference on Computational Intelligence. IJCCI 2012: proceedings of the 4th International Joint Conference on Computational Intelligence: Barcelona, Spain.
  8. Roy D, Pentland A (1996) Automatic spoken affect classification and analysis. Automatic Face and Gesture Recognition, Proceedings of the Second International Conference.
  9. Lopez-de-Ipina K, Alonso JB, Travieso CM, Egiraun H, Ecay M, et al. (2013) Automatic analysis of emotional response based on non-linear speech modeling oriented to Alzheimer disease diagnosis. IEEE International Conference on Intelligent Engineering Systems (INES). View
  10. Alonso JB, Cabrera J, Medina M, Travieso CM (2015) New approach in quantification of emotional intensity from the speech signal: emotional temperature. Expert Syst Appl 42: 9554-9564. View
  11. López-de-IpiñaEmail K, Alonso JB, Solé-Casals J, Barroso N, Henriquez P et al. (2015) On Automatic Diagnosis of Alzheimer’s Disease Based on Spontaneous Speech Analysis and Emotional Temperature. Cognit Comput 7: 44-55. View
  12. Barrett PA (2000) Voice activity detector.
  13. Bhaduri S, Das R, Ghosh D (2016) Non-Invasive Detection of Alzheimer’s Disease-Multifractality of Emotional Speech. J Neurol Neurosci 7: 2. View