Performance Analysis of Speech Command Recognition Using Support Vector Machine Classifiers

Subbarao, M. V.; Padavala, Akhendra Kumar; Harika, K.

doi:10.1007/978-981-16-1777-5_19

Cited by 12 publications

(1 citation statement)

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“…SVM classifiers are used in several applications, such as speech recognition, text classification, data classification, etc. [24,25].…”

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confidence: 99%

Automatic Modulation Classification Using a Support Vector Machine-Based Pattern Recognition Algorithm

G.¹,

Meena²

2022

ISI

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Modulation format recognition is an essential part of intelligent receivers of wireless communication systems, especially for adaptive radio systems (ARS). This paper presents a detailed investigation of automatic modulation classification (AMC) using pattern recognition classifiers (PRC) under fading and AWGN conditions. A variety of classifiers with different kernel functions and Support Vector Machine (SVM) classifiers have been developed for the classification of higher-order digital modulation signals. In addition, an extensive investigation of the extraction of various higher-order statistical features from each of the modulated classes and the choice of appropriate features for training classifiers are presented. In addition, the performance of the SVM classifier is evaluated under a variety of training rates and suboptimal channel conditions. Further, the performance of SVM classifiers is compared to that of existing techniques to demonstrate the effectiveness of the SVM classifiers for modulation categorization.

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“…SVM classifiers are used in several applications, such as speech recognition, text classification, data classification, etc. [24,25].…”

mentioning

confidence: 99%