Automatic speech recognition systems have the potential to make hard to understand speech more easily recognizable. Designing a system that recognizes impaired speech is more difficult than a system that recognizes no...
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ISBN:
(纸本)9789604741359
Automatic speech recognition systems have the potential to make hard to understand speech more easily recognizable. Designing a system that recognizes impaired speech is more difficult than a system that recognizes normal speech. The Automatic Malay Speech Recognition for Speech Disorder system is able to recognized impaired Malay words spoken by people who suffer from dysarthria, a motor speech disorder resulting from neuron damage, characterized by poor communication. It is developed using techniques used for normal speech recognition but modified to cater for the speech impairment. A feature extraction technique based on the Mel Frequency Cepstrum Coefficient (MFCC) is used along with artificial intelligent algorithms to recognize the speech. In addition, novel pre-processing steps are required to segment the speech prior to recognition taking into account the speech irregularities. The system requires that the user is registered with the system and the system is then trained to accommodate the user speech pattern. The outputs of the system are the visual display of the corrected words uttered or synthesized audio version of the corrected words.
In this paper we describe the coordination strategies that were designed to achieve effective cooperation between a robot goal-keeper and the rest of the ART (Azzurra Robot Team) team that participates in the RoboCup ...
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Speech compression is one area of digital signal processing that focusing on reducing the bit rate of the speech signal for transmission or storage without significant loss of quality. In recent years a new technique ...
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Face annotation for personal photos has a number of potential applications in Multimedia Information Retrieval (MIR). We propose a novel face annotation method that systematically combines contextual information of ph...
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ISBN:
(纸本)9781605583129
Face annotation for personal photos has a number of potential applications in Multimedia Information Retrieval (MIR). We propose a novel face annotation method that systematically combines contextual information of photos with traditional Face Recognition (FR) technologies. To overcome the limitations of conventional FR-based annotation approaches, situation and person clustering methods are proposed based on context of personal photos. By relying on the proposed clustering methods, multiple facial images that belong to the same person are applied to subspace FR methods. This allows traditional FR methods to take advantages of feature- or measurement-level fusion strategies for automatic annotation of faces on personal photos. The effectiveness of the proposed method was successfully tested on 1,120 personal photos selected from standard MPEG-7 Visual Core Experiment 3 (VCE-3). Extensive experimental results showed that the proposed method improves annotation accuracy by at least an order of magnitude, compared with conventional FR-based approaches. Copyright 2008 ACM.
The main deficiency of standard TCP and all existing variations in ad hoc mobile network arises in its inability to classify packet losses. Conventional TCP diagnoses all losses due to congestion since non-congestion ...
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E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagno...
ISBN:
(数字)9781598290370
E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.
With the extensive penetration of distributed renewable energy and self-interested prosumers,the emerging power market tends to enable user autonomy by bottom-up control and distributed *** paper is devoted to solving...
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With the extensive penetration of distributed renewable energy and self-interested prosumers,the emerging power market tends to enable user autonomy by bottom-up control and distributed *** paper is devoted to solving the specific problems of distributed energy management and autonomous bidding and peer-to-peer(P2P)energy sharing among prosumers.A novel cloud-edge-based We-Market is presented,where the prosumers,as edge nodes with independent control,balance the electricity cost and thermal comfort by formulating a dynamic household energy management system(HEMS).Meanwhile,the autonomous bidding is initiated by prosumers via the modified Stone-Geary utility *** the cloud center,a distributed convergence bidding(CB)algorithm based on consistency criterion is developed,which promotes faster and fairer bidding through the interactive iteration with the edge ***,the proposed scheme is built on top of the commercial cloud platform with sufficiently secure and scalable computing *** results show the effectiveness and practicability of the proposed We-Market,which achieves 15%cost reduction with shorter running *** analysis indicates better scalability,which is more suitable for largerscale We-Market implementation.
A fiber web was used for object(s) localization. The fiber web used binary codes to segment and encode the object space. We employed 2D gray code to localize an extended object and superimposed code to localize multip...
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Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collabora...
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Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collaborating agents for solving a problem beyond the ability of a single agent.A smart grid(SG)combines advanced intelligent systems,control techniques,and sensing methods with an existing utility power *** controlling smart grids,various control systems with different architectures have already been ***-based control of power system operations has been shown to overcome the limitations of time required for analysis,relaying,and protection;transmission switching;communication protocols;and management of plant *** systems provide an alternative for fast and accurate power network *** paper provides a comprehensive overview of MASs used for the control of smart *** paper provides a wide-spectrum view of the status of smart grids,MAS-based control techniques and their implementation for the control of smart *** of MASs in the control of various aspects of smart grids-including the management of energy,marketing energy,pricing,scheduling energy,reliability,network security,fault handling capability,communication between agents,SG-electrical vehicles,SG-building energy systems,and soft grids—have been critically *** than a hundred publications on the topic of MAS-based control of smart grids have been critically examined,classified,and arranged for fast reference.
Based on the attractive features of both distributed artificial intelligence and existing load forecasting techniques, a distributed problem solving system for short-term load forecasting is proposed. Such a distribut...
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Based on the attractive features of both distributed artificial intelligence and existing load forecasting techniques, a distributed problem solving system for short-term load forecasting is proposed. Such a distributed paradigm is a multi-agent system, each processing agent of which can compute autonomously and cooperate with other agents to reason an accurate and satisfactory solution for load forecasting. The designed load forecasting system solves problems using three basic modules: a blackboard module, knowledge sources, and a control mechanism. In addition, to achieve a high degree of accuracy in load forecasting, the existing techniques are embedded in the domain knowledge source and the root mean square error is referred to as the key driven by the constraint knowledge source. This system has been implemented by the expert system tool CLIPS in a SUN network environment and tested with practical data. It was found that the developed distributed system is a valuable tool for system operators for short-term load forecasting.
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