Name
Title | ||
|---|---|---|
Arabic spotted words recognition system based on HMM approach to control a didactic manipulator |
Abstract | ||
|---|---|---|
A voice command system for a robot arm is designed as a part of a research project. The methodology adopted is based on a spotted words recognition system based on a robust HMM ( Hidden Markove Model) technique with cepstral coefficients as parameters used in automatic speech recognition system. 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. Other applications are proposed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/AICCSA.2008.4493648 | AICCSA |
Keywords | Field | DocType |
voice command system,spotted words recognition system,hmm approach,research project,spotted word,robot arm,real-time application,cepstral coefficient,personal computer parallel port,hidden markove model,automatic speech recognition system,didactic manipulator,hmm,automatic speech recognition,hidden markov models,word recognition,hidden markov model,degree of freedom,speech recognition | Mel-frequency cepstrum,Robotic arm,Recognition system,Computer science,Phrase,Personal computer,Speech recognition,Hidden Markov model,Parallel port,Stepper | Conference |
ISBN | Citations | PageRank |
978-1-4244-1968-5 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Fezari | 1 | 2 | 4.76 |
| Attoui Hamza | 2 | 0 | 0.34 |
| Mouldi Bedda | 3 | 9 | 3.36 |