Systematic Review of Auditory Perceptual and Acoustic Characteristics of the Voice of Cochlear Implant Adult Users

Medved, Daniela Malta de Souza; Cavalheri, Larissa Mendes da Rocha; Coelho, Ana Cristina; Fernandes, Ana Carolina Nascimento; Silva, Eduardo Magalhães da; Sampaio, André Luiz Lopes

doi:10.1016/j.jvoice.2020.02.023

Cited by 4 publications

(2 citation statements)

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“…In recent years, several auditory models almost entirely capable of reproducing the functioning of human biological systems have been proposed. A few authors, among which are [7][8][9][10][11][12][13][14][15][16][17], propose models that reproduce in an equivalent way the behavior of the structures involved in the analysis of the voice. These designs constitute bioinspired models capable of understanding and imitating the biological responses of the auditory system.…”

Section: Introductionmentioning

confidence: 99%

“…These designs constitute bioinspired models capable of understanding and imitating the biological responses of the auditory system. For this reason, the objective of this work is to achieve a bioinspired model capable of reproducing the process of vowel recognition by the auditory system: peripheral, central and superior; a model with which it is possible assess the performance of cochlear implant strategies [1] based on vowel recognition and not directly with implanted subjects [16,17]. In other words, the techniques for the recognition of speakers and vowels are based, fundamentally, on the use of phonation models whose parameters are obtained from the direct processing of the voice signal.…”

Section: Introductionmentioning

confidence: 99%

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Bioinspired Auditory Model for Vowel Recognition

2021

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In this work, a bioinspired or neuromorphic model to replicate the vowel recognition process for an auditory system is presented. A bioinspired peripheral and central auditory system model is implemented and a neuromorphic higher auditory system model based on artificial neuronal nets for vowel recognition is proposed. For their verification, ten Hispanic Spanish language-speaking adults (five males and five females) were used. With the proposed bioinspired model based on artificial neuronal nets it is possible to recognize with high levels of accuracy and sensibility the vowels phonemes of speech signals and the assessment of cochlear implant stimulation strategies in terms of vowel recognition.

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