Skip to main content

Automatic Recording and Analysis of Somniloquy Through the Use of Mobile Devices to Support the Diagnosis of Psychological Pathologies

  • Conference paper
  • First Online:
Technologies and Innovation (CITI 2017)

Abstract

Somniloquy is a parasomnia that refers to talking aloud while sleep. This parasomnia usually happens during transitory arousals from NREM sleep. The recording of these parasomnias could be useful to help in the diagnosis of certain psychological pathologies given that they can reflect a state of anxiety or some behaviors which could be identified as psychological diagnosis criteria. In this work-in-progress paper, a mobile platform which only records sleep-talking (excluding other noises or sounds) and analyze them to identify the main emotion in the voice, allowing making a transcription of the conversation, is presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. American Academy of Sleep Medicine: International Classification of Sleep Disorders: Diagnostic and Coding Manual. American Academy of Sleep Medicine, Westchester, Illinois, 2nd edn. (ICSD-2) (2015)

    Google Scholar 

  2. Chokroverty, S., Allen, R.P., Walters, A.S., Montagna, P.: Sleep and Movement Disorders. Oxford University Press, New York (2012)

    Google Scholar 

  3. Shneerson, J.M.: Sleep Medicine: A Guide to Sleep and Its Disorders. Wiley, New York (2009)

    Google Scholar 

  4. Thorpy, M.J., Plazzi, G.: The Parasomnias and Other Sleep-Related Movement Disorders. Cambridge University Press, New York (2010)

    Book  Google Scholar 

  5. Arkin, A.M., Toth, M.F., Baker, J., Hastey, J.M.: The frequency of sleep talking in the laboratory among chronic sleep talkers and good dream recallers. J. Nerv. Mental Dis. 151(6), 369–374 (1970)

    Article  Google Scholar 

  6. Rechtschaffen, A., Goodenough, D.R., Shapiro, A.: Patterns of sleep talking. Arch. Gen. Psychiatry 7(6), 418–426 (1962)

    Article  Google Scholar 

  7. Andriani, G.: Fisiología psicológica del sonniloquio. Ann. Neurol. 10, 299–308 (1892)

    Google Scholar 

  8. Arkin, A.M.: Sleep-Talking: Psychology and Psychophysiology. Lawrence Erlbaum Associates, Hillsdale (1981)

    Google Scholar 

  9. Darwin, C.: The Expression of the Emotions in Man and Animals. Oxford University Press, Oxford (1998)

    Google Scholar 

  10. Fairbanks, G., Pronovost, W.: An experimental study of the pitch characteristics of the voice during the expression of emotion. Commun. Monogr. 6(1), 87–104 (1939)

    Google Scholar 

  11. Fairbanks, G.: Recent experimental investigations of vocal pitch in speech. J. Acoust. Soc. Am. 11(4), 457–466 (1940)

    Article  Google Scholar 

  12. Fairbanks, G., Hoaglin, L.W.: An experimental study of the durational characteristics of the voice during the expression of emotion. Commun. Monogr. 8(1), 85–90 (1941)

    Google Scholar 

  13. Skinner, E.R.: A calibrated recording and analysis of the pitch, force and quality of vocal tones expressing happiness and sadness; and a determination of the pitch and force of the subjective concepts of ordinary, soft, and loud tones. Commun. Monogr. 2(1), 81–137 (1935)

    Google Scholar 

  14. Williams, C.E., Stevens, K.N.: Emotions and speech: some acoustical correlates. J. Acoust. Soc. Am. 52(4B), 1238–1250 (1972)

    Article  Google Scholar 

  15. Williams, C.E., Stevens, K.N.: Vocal correlates of emotional states. In: Speech Evaluation in Psychiatry, pp. 221–240 (1981)

    Google Scholar 

  16. Levin, H., Lord, W.: Speech pitch frequency as an emotional state indicator. IEEE Trans. Syst. Man Cybern. 2, 259–273 (1975)

    Article  Google Scholar 

  17. France, D.J., Shiavi, R.G., Silverman, S., Silverman, M., Wilkes, M.: Acoustical properties of speech as indicators of depression and suicidal risk. IEEE Trans. Biomed. Eng. 47(7), 829–837 (2000)

    Article  Google Scholar 

  18. Zuckerman, M., Lipets, M.S., Koivumaki, J.H., Rosenthal, R.: Encoding and decoding nonverbal cues of emotion. J. Pers. Soc. Psychol. 32(6), 1068 (1975)

    Article  Google Scholar 

  19. van Bezooijen, R.: The characteristics and recognizability of vocal expression of emotions (1984)

    Google Scholar 

  20. Buckley, C.: Dreamcatcher. Version 1.2 (2011). https://market.android.com/details?id=com.buck.SleepTalker&hl=es

  21. MobiUtil: Dream talk recorder. Android version (2016). https://play.google.com/store/apps/developer?id=MobiUtil&hl=en, Version 3.6. iOS version. https://itunes.apple.com/us/app/dream-talk-recorder/id445472628?mt%3D8, Version 7.0

  22. Asleroid: Sleep recorder (2017). https://www.microsoft.com/en-us/store/p/sleep-recorder/9wzdncrfhmw3

  23. MadinSweden: Dreamcatcher (2011). http://www.sleeptalkrecorder.com. https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewSoftware?id=391767653, Version 2.1.2

  24. Corominas, R.: Audio digital: amplitud, frecuencia, ruido y normalización (2005)

    Google Scholar 

  25. Fontes, S., Fontes, A.: Consideraciones teóricas sobre las leyes psicofísicas. Revista de psicología general y aplicada: Revista de la Federación Española de Asociaciones de Psicología (Internet) 47(4), 391–395 (1994)

    Google Scholar 

  26. Instituto de Salud Pública. Gobierno de Chile: Instructivo para la aplicación del d. s n\(^{\circ }\) 594/99 del minsal, título iv, parrafo 3\(^{\circ }\) agentes fisicos - ruido (1999)

    Google Scholar 

  27. Reynoso, C., Kicillof, N.: Estilos y patrones en la estrategia de arquitectura de microsoft. Universidad de Buenos Aires, Buenos Aires (2004)

    Google Scholar 

  28. Android Developers: android.media.audiorecord (2009). http://developer.android.com/reference/android/media/AudioRecord.html

  29. Rodríguez Bravo, Á., Lázaro Pernias, P., Montoya Vilar, N., Blanco Pont, J.M., Bernadas Suñé, D., Oliver, J.M., Longhi, L.: Modelización acústica de la expresión emocional en el español. Procesamiento del lenguaje natural, no. 25 (Septiembre 1999), pp. 159–166 (1999)

    Google Scholar 

  30. GilMartín, V.F., Gómez-Navarro, P.G., Ballesteros, R.H.: Análisis y síntesis de expresión emocional en cuentos leídos en voz alta. Procesamiento del lenguaje natural 35, 293–300 (2005)

    Google Scholar 

  31. Zaykovskiy, D., Minker, W.: Speech recognition for mobile phones. Int. J. Speech Technol. 11(2), 63–72 (2012). Springer

    Google Scholar 

  32. Wells, J., Barry, W., Grice, M., Fourcin, A., Gibbon, D.: Standard computer-compatible transcription. Esprit project 2589 (SAM), Doc. no. SAM-UCL 37 (1992)

    Google Scholar 

  33. Project by Carnegie Mellon University: Cmusphinx - open source toolkit for speech recognition (2017). https://cmusphinx.github.io

  34. Speech Vision, Robotics Group of the Cambridge University Engineering Department: The hidden Markov model toolkit (htk) (2017). http://htk.eng.cam.ac.uk

  35. Sun Microsystems: Java speech API (2017). http://www.oracle.com/technetwork/java/speech-138007.html

  36. Google: Cloud speech API (2017). https://cloud.google.com/speech

  37. IBM: Watson developer cloud (2017). https://www.ibm.com/watson/developercloud/speech-to-text.html

Download references

Acknowledgements

This paper is supported by European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727658, project IASIS (Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients). The paper is also supported by the Spanish Ministry of Economy, Industry and Competitiveness under the grant agreement No, RTC-2016-4922-1 project NDMonitor (Plataforma Integral de bajo coste para la monitorización y ayuda de pacientes de enfermedades neurodegenerativas graves en capacidades mentales).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alejandro Rodríguez-González .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Aparicio-Paniagua, V. et al. (2017). Automatic Recording and Analysis of Somniloquy Through the Use of Mobile Devices to Support the Diagnosis of Psychological Pathologies. In: Valencia-García, R., Lagos-Ortiz, K., Alcaraz-Mármol, G., Del Cioppo, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2017. Communications in Computer and Information Science, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-319-67283-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67283-0_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67282-3

  • Online ISBN: 978-3-319-67283-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics