Competitive crow search algorithm-based hierarchical attention network for dysarthric speech recognition
by Bhuvaneshwari Jolad; Rajashri Khanai
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 25, No. 4, 2023

Abstract: The common difficulty of speech recognition is articulation deficiency produced by an athetoid, which is a kind of cerebral palsy. In this paper, the effectual dysarthria speech recognition approach is introduced using the developed Competitive Crow Search Algorithm-based Hierarchical Attention Network (CCSA-based HAN). Here, the spectral subtraction method is utilised for removing unwanted noises. Then, the specific features are extracted, and then to improve the performance the data augmentation is done. The data augmentation process is performed by adding various noises, like street noise, train noise and party crowd noise to the input signal. In addition, the HAN classifier is employed for recognising dysarthric speech. Here, CCSA is devised for obtaining effective recognition output, which is designed by incorporating Competitive Swarm Optimiser (CSO) and Crow Search Algorithm (CSA). The developed dysarthria speech recognition approach outperforms other existing methods with accuracy of 0.9141, sensitivity of 0.9208 and specificity of 0.9172.

Online publication date: Fri, 08-Dec-2023

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