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A Novel Hybrid PSO Assisted Optimization for Classification of Intellectual Disability Using Speech Signal

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Abstract

Speech signals convey speaker’s neurodevelopmental state along with phonological information. Recognize a speech disorder by analyzing the speech is essential for human–machine interaction. To develop a subject independent speech recognition system for neurodevelopmental disorders, by identifying voice features from MATLAB toolbox, spectral characteristics and feature selection algorithms are proposed in this paper. Feature selection is applied to overcome the challenges of dimensionality in various applications. This work presents a novel particle swarm optimization (PSO) based algorithm for feature selection. The experiments were conducted using a speech database of the children with intellectual disability with age-matched typically developed and validate the reliability using 10-fold cross-validation technique. The database consists of 141 speech features extracted from linear predictive coding (LPC) based cepstral parameters and Mel-frequency cepstral coefficients (MFCC). Three classification models were applied and obtained the recognition accuracies 90.30% with ANN, 98.00% with SVM and 91.00% with random forest with PSO feature selection algorithm. The results strongly prove the usefulness of the proposed multivariate feature selection algorithm when compared with filter approach.

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Authors and Affiliations

  1. Manipal University Jaipur, VPO Dehmikalan, Ajmer Highway, Jaipur, 303007, India

    Gaurav Aggarwal

  2. Dulwich College Suzhou, Suzhou, Jiangsu, China

    Rudraksh Monga

  3. Virginia Modeling, Analysis and Simulation Centre, Department of Modeling, Simulation and Visualization Engineering, Old Dominion University, 1030 University Blvd, Suffolk, VA, 23435, USA

    Sarada Prasad Gochhayat

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  1. Gaurav Aggarwal
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  2. Rudraksh Monga
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  3. Sarada Prasad Gochhayat
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Correspondence to Gaurav Aggarwal.

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Aggarwal, G., Monga, R. & Gochhayat, S.P. A Novel Hybrid PSO Assisted Optimization for Classification of Intellectual Disability Using Speech Signal. Wireless Pers Commun 113, 1955–1971 (2020). https://doi.org/10.1007/s11277-020-07301-6

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