180
Views
11
CrossRef citations to date
0
Altmetric
Research Articles

Analysis of the correlation between the human voice and brain activity

ORCID Icon, , & ORCID Icon
Pages 915-927 | Received 02 Nov 2020, Accepted 19 Apr 2021, Published online: 03 May 2021

References

  • Peñaloza C, et al. Speech segmentation in aphasia. Aphasiology. 2015;29(6):724–743.
  • Warren J. A pattern classification technique for speech recognition. IEEE Trans Audio Electroacoust. 1971;19(4):281–285.
  • Athaudage CRN, Bradley AB, Lech M. Model-based speech signal coding using optimized temporal decomposition for storage and broadcasting applications. EURASIP J. Adv. Signal Process. 2003;2003:653129.
  • Birgmeier M, Bernhard HP, Kubin G. Nonlinear long-term prediction of speech signals. 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, Munich, Vol 2, 1997; 1283-1286. doi:10.1109/ICASSP.1997.596180.
  • Lopes LW, et al. Spectrographic classification of the vocal signal: relation with laryngeal diagnosis and auditory-perceptual analysis. Audiol. Commun. Res. 2020;25; doi: 10.1590/2317-6431-2019-2194.
  • Vizza P, et al. Vocal signal analysis in patients affected by multiple sclerosis. Procedia Comput. Sci. 2017;108:1205–1214.
  • Beier EJ, Ferreira F. The temporal prediction of stress in speech and its relation to musical beat perception. Front. Psychol. 2018;9:431.
  • Scherer KR, et al. The expression of emotion in the singing voice: Acoustic patterns in vocal performance. J. Acoust. Soc. Am. 2017;142(4):1805.
  • Bashan A, et al. Network physiology reveals relations between network topology and physiological function. Nat. Commun. 2012;3:702.
  • An K-m, et al. Brain responses to human-voice processing predict child development and intelligence. Hum. Brain Mapp. 2020: 1–10.
  • Lévêque Y, Schön D. Listening to the human voice alters sensorimotor brain rhythms. PLoS ONE. 2013;8(11):e80659.
  • Whitehead JC, Armony JL. Singing in the brain: neural representation of music and voice as revealed by fMRI. Hum. Brain Mapp. 2018;39:4913–4924.
  • Namazi H, Kulish VV. A mathematical based calculation of a myelinated segment in axons. Comput. Biol. Med. 2013;43(6):693–698.
  • Namazi H, Selamat A, Krejcar O. Complexity-based analysis of the alterations in the structure of coronaviruses. Fractals. 2021;29(2):2150123.
  • Gómez C, Hornero R. Entropy and complexity analyses in Alzheimer’s disease: An MEG study. Open Biomed Eng J. 2010;4:223–235.
  • Namazi H, et al. Information-based analysis of the relation between visual stimuli and human eye movements. Fluct. Noise Lett. 2019;18(01):1950010.
  • Lee T-R, Kim YH, Sung PS. Spectral and entropy changes for back muscle fatigability following spinal stabilization exercises. J. Rehabil. Res. Dev. 2010;47(2):133–142.
  • Namazi H, Kumarasinghe T, Krejcar O. Information-Based Analysis of the coupling between the alterations of heart and brain activities in response to auditory stimuli. 2021;20(6):2150049.
  • Solís-Montufar EE, Gálvez-Coyt G, Muñoz-Diosdado A. Entropy analysis of RR-time series from Stress tests. Front. Physiol. 2020;11:981.
  • Soundirarajan M, Aghasian E, Krejcar O, et al. Complexity-based analysis of the coupling between facial muscle and brain activities. Biomed. Signal Process Control. 2021;67:102511.
  • Namazi H, Baleanu D, Omam S, et al. Analysis of the correlation between brain and skin reactions to different types of music. Fractals. 2021;29(2):2150124.
  • Banerjee P, Mondal A. An irregularity measurement based cardiac status recognition using support vector machine. J. Med. Eng. 2015;2015:1.
  • Namazi H. Investigating the brain development in newborns by information-based analysis of electroencephalography (EEG) signal. Fluct. Noise Lett. 2020;19(04):2050043.
  • Mateos DM, Gomez-Ramirez J, Rosso OA. Using time causal quantifiers to characterize sleep stages. Chaos Soliton Fract. 2021;146:110798.
  • Rahman MA, Khanam F, Ahmad M, et al. Multiclass EEG signal classification utilizing rényi min-entropy-based feature selection from wavelet packet transformation. Brain Inform. 2020;7(1):7.
  • George SM, et al. Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform. Biocybern. Biomed. Eng. 2020;40(2):709–728.
  • Mahato S, et al. Detection of depression and scaling of severity using six channel EEG data. J. Med. Syst. 2020;44(118.
  • Cirugeda-Roldán EM, et al. Comparative study between sample entropy and detrended fluctuation analysis performance on EEG records under data loss. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2012;2012:4233–4236.
  • Sairamya NJ, Subathra MSP, Suviseshamuthu ES, et al. A new approach for automatic detection of focal EEG signals using wavelet packet decomposition and quad binary pattern method. Biomed. Signal Proces. 2021;63:102096.
  • Zhao L, et al. Frontal alpha complexity of different severity depression patients. J. Healthc. Eng. 2020;2020:1, doi: 10.1155/2020/8854725.
  • Selamtzis A, et al. Effect of vowel context in cepstral and entropy analysis of pathological voices. Biomed. Signal Process Control. 2019;47:350–357.
  • Ahamed MR, Babini MH, Namazi H. Analysis of the information transfer between brains during a conversation. Technol Health Care. 2021;29(2):283–293.
  • Ahamed MRA, Babini MH, Namazi H. Complexity-based analysis of brains’ synchronization in human-human interaction. Fractals. 2020;28(07):2050102.
  • Namazi H, Herrera-Viedma E, Krejcar O. Complexity-based detection of similarity between animal coronaviruses and SARS-CoV-2 in humans. Fractals. 2020;28(07):2150031.
  • Kermen F, et al. Molecular complexity determines the number of olfactory notes and the pleasantness of smells. Sci. Rep. 2011;1:206.
  • Millot J, Brand G. Effects of pleasant and unpleasant ambient odors on human voice pitch. Neurosci Lett. 2001;297(1):61–63.
  • Namazi H, Kulish VV. Fractional diffusion based modeling and prediction of human brain response to external stimuli. Comput. Math. Methods Med. 2015;2015.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.