scholarly journals Bioinspired Auditory Model for Vowel Recognition

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2304
Author(s):  
Viviana Abad Peraza ◽  
José Manuel Ferrández Vicente ◽  
Ernesto Arturo Martínez Rams

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.

1986 ◽  
Vol 29 (3) ◽  
pp. 420-424 ◽  
Author(s):  
Michael Dorman ◽  
Ingrid Cedar ◽  
Maureen Hannley ◽  
Marjorie Leek ◽  
Julie Mapes Lindholm

Computer synthesized vowels of 50- and 300-ms duration were presented to normal-hearing listeners at a moderate and high sound pressure level (SPL). Presentation at the high SPL resulted in poor recognition accuracy for vowels of a duration (50 ms) shorter than the latency of the acoustic stapedial reflex. Presentation level had no effect on recognition accuracy for vowels of sufficient duration (300 ms) to elicit the reflex. The poor recognition accuracy for the brief, high intensity vowels was significantly improved when the reflex was preactivated. These results demonstrate the importance of the acoustic reflex in extending the dynamic range of the auditory system for speech recognition.


2021 ◽  
pp. 108165
Author(s):  
Carlos R. Benítez-Barrera ◽  
Alexandra P. Key ◽  
Todd Andrew Ricketts ◽  
Anne Marie Tharpe

Neuroscience ◽  
2010 ◽  
Vol 170 (4) ◽  
pp. 1270-1281 ◽  
Author(s):  
K. Charitidi ◽  
R.D. Frisina ◽  
O.N. Vasilyeva ◽  
X. Zhu ◽  
B. Canlon

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