2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2021
DOI: 10.1109/icecce52056.2021.9514107
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Extreme Learning Machine for Automatic Language Identification Utilizing Emotion Speech Data

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Cited by 16 publications
(7 citation statements)
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“…Therefore, the total number of implemented experiments is 11 times. Besides, there were various of the evaluation measures have used to evaluate the performance of the proposed system in the detection of human facial emotions such as accuracy, precision, recall (i.e., sensitivity), F-measure, and G-mean, as shown in ( 7)-( 11) [28]. The experiments of this proposed system have carried out by using MATLAB.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, the total number of implemented experiments is 11 times. Besides, there were various of the evaluation measures have used to evaluate the performance of the proposed system in the detection of human facial emotions such as accuracy, precision, recall (i.e., sensitivity), F-measure, and G-mean, as shown in ( 7)-( 11) [28]. The experiments of this proposed system have carried out by using MATLAB.…”
Section: Resultsmentioning
confidence: 99%
“…In eqn (16), randomly selected scaling parameters are denoted as 𝛼; 𝛼 ∈ (0, 𝑑 𝑥 , 𝑥 . The 𝛼 value is selected at every iteration.…”
Section: 𝐶 = Tanh (𝑊 °[ℎ 𝑥 ] + 𝑏mentioning
confidence: 99%
“…This study suggests using an ELM instead of the fully connected layer to provide a real-time processor [11][12][13]. Utilizing a DCNN automated feature, in conjunction with ELMs, can effectively tackle the problems associated with manual feature extraction and the elongation of training time in the proposed two-phase technique.…”
Section: Introductionmentioning
confidence: 99%
“…The Random Vector Functional Link (RVFL) [14] is utilized to establish the foundation of the ELM, resulting in a highly efficient and adaptable system [12,13]. Research shows that engineering applications use ELM regularly [15][16][17].…”
Section: Introductionmentioning
confidence: 99%