#3785. A novel stochastic deep resilient network for effective speech recognition

July 2026publication date
Proposal available till 08-06-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Language and Linguistics;
Linguistics and Language;
Computer Vision and Pattern Recognition;
Human-Computer Interaction;
Software;
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Abstract:
Speech recognition is a subjective occurrence. This work proposes a novel stochastic deep resilient network (SDRN) for speech recognition. The hidden layers of DNN and its neurons are additionally optimized to reduce the computation time by using a neural-based opposition whale optimization algorithm (NOWOA). real-time data (recorded in ambient condition) for isolated words and continuous speech signals are additionally used for validation to increase the accuracy of the SDRN network. The obtained results exhibit the supremacy of SDRN over other techniques.
Keywords:
Deep neural network; Opposition whale optimization algorithm; Optimization; Speech recognition; Stochastic deep resilient network

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