Work

Hybrid Voice Controller for Intelligent Wheelchair and Rehabilitation Robot Using Voice Recognition and Embedded Technologies

Year: 2016

Type: article

Abstract: The use of intelligent wheelchair and rehabilitation robots has increased rapidly in the recent years owing to a growing number of patients experiencing paralysis, quadriplegia, amputation, and geriatric conditions. In this paper, the design and development of a powerful voice control system is proposed. It includes three modes of operational voice-recognition algorithms. Two sophisticated voice-recognition modules are used to achieve this goal. The system supports speaker dependent (SD) and speaker independent (SI) voice processing. Two voice-recognition algorithms are used, dynamic time warping (DTW) and Hidden Markov Model (HMM), to ensure the maximum voice-recognition accuracy and reduce voice-recognition errors. The system is validated in different noise environments to verify the performance of the system with low and high noise and to evaluate the feasibility of using the system in these environments. Three popular languages (English, German, and Chinese) were used by the system to verify performance with different pronunciations.

Source: Journal of Advanced Computational Intelligence and Intelligent Informatics

DOI: 10.20965/jaciii.2016.p0615

Authors: Mohammed Faeik Ruzaij, Sebastian Neubert, Norbert Stoll, Kerstin Thurow

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W2575263633

FWCI: 2.185

Cites: 16

Cited by: 19

Related to: 10