文章基本信息

标题：Spotted words recognition system based on Kalman filter and HMM (hidden Markove model) models to control the movement of the manipulator arm
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作者：Ibrahiem M. M. El Emary ; Hamza Atoui ; Mohamed Fezari 等
期刊名称：Scientific Research and Essays
印刷版ISSN：1992-2248
出版年度：2011
卷号：6
期号：8
页码：1808-1816
DOI：10.5897/SRE10.761
语种：English
出版社：Academic Journals
摘要：The main objective of this paper is to implement a real-time speech recognition module to use it in controlling the movements of a five degree of freedom (FOD) manipulator arm using a Kalman filter as a selector in noisy environment and HHM model to recognise 12 Arabic spotted words. The adopted methodology is based on detecting and spotting vocabulary words within a phrase generated by user. The system recognises the spotted words using Kalman filter to select these spotted words then a robust HMM (hidden Markove model) technique with cepstral coefficients is used to improve the recognition rate. To implement the approach on a real-time application, a “personal computer parallel port interface” was designed to control the movement of a set of stepper motors. The user can control the movements of five degree of freedom (DOF) for a robot arm using a vocal phrase containing spotted words.
关键词：Hidden Markove model; kinematics; Kalman filter; recognition; manipulator; robot; degree of freedom; artificial intelligence