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A NEURAL SYSTEM OF PHONEMATIC TRANSFORMATION
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 rapidly constructed than a single net solution, and is easily extendable. Input data representation isdoaj:edda0d5d6b3c4757988051729b21955c fatcat:e5usllgtfncddhme3buy3zceom