In order to assist physically handicapped persons in their movements,we developed an embedded isolated word speech recognition system(ASR)applied to voice control of smart ***,in spite of the existence in the industri...
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In order to assist physically handicapped persons in their movements,we developed an embedded isolated word speech recognition system(ASR)applied to voice control of smart ***,in spite of the existence in the industrial market of several kinds of electric wheelchairs,the problem remains the need to manually control this device by hand via joystick;which limits their use especially by people with severe ***,a significant number of disabled people cannot use a standard electric wheelchair or drive it with *** proposed solution is to use the voice to control and drive the wheelchair instead of classical *** intelligent chair is equipped with an obstacle detection system consisting of ultrasonic sensors,a moving navigation algorithm and a speech acquisition and recognition module for voice control embedded in a DSP *** ASR architecture consists of two main *** first one is the speech parameterization module(features extraction)and the second module is the classifier which identifies the speech and generates the control word to motors power *** training and recognition phases are based on Hidden Markov Models(HMM),K-means,Baum-Welch and Viterbi *** database consists of 39 isolated speaker words(13 words pronounced 3 times under different environments and conditions).The simulations are tested under Matlab environment and the real-time implementation is performed by C language with code composer studio embedded in a TMS 320 C6416 DSP *** results and experiments obtained gave promising recognition ratio and accuracy around 99%in clean ***,the system accuracy decreases considerably in noisy environments,especially for SNR values below 5 dB(in street:78%,in factory:52%).
Uncertain robotic manipulator systems, known for their high nonlinearities, unmodeled dynamics, and uncertainties, are the subject of this paper. Based on the terminal sliding mode control algorithm and its nonsingula...
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This paper deals with the representation of invariant, causal and stable systems on orthogonal Laguerre bases by combining the multimodel approach with the output and the input filtering principle. This representation...
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Sound indexing and segmentation of digital documentsespecially in the internet and digital libraries are very useful tosimplify and to accelerate the multimedia document retrieval. Wecan imagine that we can extract mu...
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Sound indexing and segmentation of digital documentsespecially in the internet and digital libraries are very useful tosimplify and to accelerate the multimedia document retrieval. Wecan imagine that we can extract multimedia files not only bykeywords but also by speech semantic contents. The maindifficulty of this operation is the parameterization and modellingof the sound track and the discrimination of the speech, musicand noise segments. In this paper, we will present aSpeech/Music/Noise indexing interface designed for audiodiscrimination in multimedia documents. The program uses astatistical method based on ANN and HMM classifiers. After preemphasisand segmentation, the audio segments are analysed bythe cepstral acoustic analysis method. The developed system wasevaluated on a database constituted of music songs with Arabicspeech segments under several noisy environments.
This paper proposes a new method to estimate, from input/output measurements, the structure parameters (order and memory) of Volterra models used for describing nonlinear systems. For each structure parameter (order a...
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To improve the safety and efficiency of aviation operation, a Kalman filtered trajectory prediction algorithm based on geometric algebra is proposed in this space. Firstly, the Kalman filter equations for trajectory p...
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This paper is dedicated to study the performance of the optimal control for linear systems by sliding mode of the first order with the integration of a Linear Quadratic Regulator LQR, applied to the pendulum. We are i...
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In this paper we propose a new robust sliding mode control for the uncertain systems with delay on the input.. The Control law is function of the estimated upper bound and is based on a choice of Lyapunov function. Th...
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A computer or microprocessor-based adaptive digital filter can easily be constructed to adapt structure as well as weights. These totally adaptive filters will always find a structure and set of weights which offer eq...
A computer or microprocessor-based adaptive digital filter can easily be constructed to adapt structure as well as weights. These totally adaptive filters will always find a structure and set of weights which offer equal or better error than the standard FIR adaptive filter yet avoid most of the difficulties encountered with IIR adaptive filters. Computer simulations of the totally adaptive filter in a host of filtering applications confirm its superior performance when compared with any fixed-structure adaptive filter with an equal number of weights.
The objective of this article is to investigate the efficacy of an optimal control method for linear systems using first-order sliding mode control, along with the incorporation of a Linear Quadratic Regulator (LQR), ...
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