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Audio Commands Recognition Through Deep Learning for Control Mobile Residential Assistant Robot

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Date of Conference

July 18-22, 2022

Published In

"Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions"

Location of Conference

Boca Raton

Authors

Jimenez Moreno, Robinson

Castillo Estepa, Ricardo

Martinez Baquero, Javier Eduardo

Abstract

This article exposes the training of a convolutional neural network to recognize voice commands that allow an assistant robot to use in a residential environment. Given the needs for isolation due to health factors, development of care robots that can support a human presents a necessary research focus. For this case, the performance of the network is evaluated, which presents a 94.33% accuracy in the recognition of voice commands, through a virtual environment of a conventional residence.

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