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Speech synthesis and recognition technology has become a research focus in the field of intelligent computer. For nearly 50 years of study, speech synthesis has had huge development as an interdisciplinary, this paper reviewed the modern speech synthesis technology and research, analyzes the problems existing in the research in this field.
This paper based on summarizing traditional several cooperation models, present a kind of MAS (multi- Agent systems) cooperation model based role (dynamic cooperative model, DCMBR). This paper introduces role notion to DCMBR, host-Agent decompounds the task, utilizes the role information library, search the appropriate Agent, makes up to a dynamic union, then realize MAS cooperation by task allocation...
The paper propped a cooperation learning based on multi-agent system, The system comprised several agents,and agents with different study methods composed the learning part. To realize the cooperative study, a learning mode based on genetic algorithm is discussed deliberately.
Which attributes are the basic ones when we describe the rational agent's internal states? How many attributes are sufficient enough for application? Those have been pending problems. This paper analyzes the limitations of the past research in this field, presents rational agent's attributes of KOCBDI and illustrates, by means of simulated RoboCup, that KOCBDI is independent.
In the classification of text and retrieval of information, because the redundancy of information and complex computing problems are aroused from synonymous phenomenon between sentences, this paper give a calculation model about semantic similarity of sentences: start with the semantic similarity of words and phrases, then analyze sentence category, and introduce semantic similarity to syntaxes, finally...
Because of the high request to classifiers performance of people and the implementation complexity of multiple classifiers ensemble approach, this paper proposes a new method of selective multiple classifiers according to the distribution characteristic of classifiers, the classifying performance as well as the existence diversity. The algorithm uses the Kernel-based clustering method to estimate...
Arming at the problem that the features of the trademark still keep invariant after rotation, scaling and changing of the initial point, an algorithm of relational back in image retrieval using SPA was presented in this paper. The algorithm first extracts five features, and initialized the weight of each feature, then modifies the weight until the feedback from users is over. Finally, a comparison...
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