Speech and gesture recognition interactive robot

Bommi, R.M.; Vijay, J.; Manohar, Vimitha; Kumar, Jaideep; Sriram, D.

doi:10.1016/j.matpr.2021.03.503

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Interaction by voice commands with robots is another field of research interest in speech recognition [7]- [9]. The use of voice assistants such as Amazon's Alexa [10] or Google's [11], allow to obtain a more natural method of human-robot interaction. Thus, highlighting that voice commands are a necessity in interaction with robots [12], where for this research also the use of convolutional networks provides high performance [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Deep learning speech recognition for residential assistant robot

Moreno

Estepa

2023

IJ-AI

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This work presents the design and validation of a voice assistant to command robotic tasks in a residential environment, as a support for people who require isolation or support due to body motor problems. The preprocessing of a database of 3600 audios of 8 different categories of words like “paper”, “glass” or “robot”, that allow to conform commands such as "carry paper" or "bring medicine", obtaining a matrix array of Mel frequencies and its derivatives, as inputs to a convolutional neural network that presents an accuracy of 96.9% in the discrimination of the categories. The command recognition tests involve recognizing groups of three words starting with "robot", for example, "robot bring glass", and allow identifying 8 different actions per voice command, with an accuracy of 88.75%.

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