… on work done using SVM, ELM, ANN, Naive Bayes and kNN classifier. The simulation … is
achieved using ELM classifier. The last section of paper covers the results obtained by using …

… the implementation and development of a wearable acoustic monitor using PNCC features
and pitch information, along with KNN classifier and it describes the application of speaker …

… tree-based DT, RF and KNN classifiers. Additional classification performance measures were
also … by implementing the Extreme Learning Machine (ELM) technique and the SVM binary …

… in the speech recognition for building up better classification for … is to have Automatic Speech
Recognition model capable of … Accordingly to our results, we establish that KNN provide …

… , while the ELM classifier was used for the classification part in … (KNN). The experimental
results showed that the RDA and SVM … While in this work, we propose OGA-ELM using MFCC …

… Automatic speech recognition systems give the machine the ability to transform the sound
signal into a series of words. The field of automatic language processing … machines (ELM), …

… The automatic speech recognition system proposed by [38] utilized MFCC for feature extraction
… ELM classifier demonstrated superior classification accuracy to that of the KNN classifier. …

… classifier on K-nearest neighbor. They used a combination of … , classification accuracy was
obtained through the implementation of an enhanced CNN framework integrated with the ELM …

… kinds of traditional classification methods (ie, k-nearest neighbours (KNN) and BP …
classification method based on ELM decision tree is proposed to realize speech emotion recognition…

… [41] used GMM and K-Nearest Neighbor (KNN) as classifiers to identify six emotions in …
MFCC features on speech emotion in detail, we used BPNN, ELM, PNN and SVM as classifiers to …