A Neural System Phonematic Transformation
نویسندگان
چکیده
A common task in speech processing is text–to– phoneme conversion for which neural networks are widely employed. In this paper we propose a novel solution to this problem by combining multilayer neural network and a modular hybrid system that uses basic rules to subdivide the original problem into easier tasks which are then solved by dedicated neural networks. A hybrid solution can be more rapidly constructed than a single net one, and is easily extended. Input data representation topic is also discussed. A voting committee concept is used to enhance generalization abilities of the system. Efficiencies of proposed systems are compared.
منابع مشابه
A Hybrid Neural System for Phonematic Transformation
Text–to–phoneme conversion is a common problem in speech processing. This can be done using a rule–based system or a neural network. In this paper we propose a solution to this problem using a modular hybrid system that uses basic rules to subdivide the original problem into easier tasks which are then solved by dedicated neural networks. Such a solution can be more rapidly constructed , and is...
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A common task in speech processing for which neural networks are widely employed is text-to-phoneme conversion. In this paper we propose a novel solution to this problem by combining a multilayer neural network and a modular hybrid system that uses basic rules to subdivide the original problem into easier tasks which are then solved by dedicated neural networks. A hybrid solution can be more ra...
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