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The definition of CAP is based on auditory functions [16].
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Several approaches have been developed to analyze and classify biomedicine signals: electroencephalography signals [7], electrocardiogram signals [8], and particularly signals based on Auditory Brainstem Response (ABR) test, which is a test for hearing and brain (neurological) functioning, [6, 14, 15, 16].
Robust feature extraction in this work is achieved based on auditory processing.
The final peaks are grouped into contours using heuristics based on auditory streaming cues.
Based on auditory brainstem response data, FC-NCs do not adversely affect hearing.
A method is proposed for synthesizing an optimal wavelet based on auditory perception criterion for dyadic filter bank implementation.
In this paper, we propose a new feature extraction method for robust speaker recognition based on auditory periphery model and tensor structure.
They described stressed and unstressed syllables and metrical patterns based on auditory quality.
Thus, the present data are in line with previous behavioral findings based on auditory processing deficits (Tallal et al. 1996).
To identify the effect of dyslipidemia on auditory function detected by Pure Tone Audiometry.
Electrophonic effects on auditory function are discussed below.
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