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In this paper, we present a two-layer hierarchical structure based on neural networks for phoneme recognition. The proposed structure attempts to model only the characteristics within a phoneme, i.e., intra-phonetic information. This differs from other state-of-the-art hierarchical structures where the first layer typically models the intra-phonetic information while the second layer focuses on modeling...
Techniques for automatic annotation of spoken content making use of speech recognition technology have long been characterized as holding unrealized promise to provide access to archives inundated with undisclosed multimedia material. This paper provides an overview of techniques and trends in semantic speech retrieval, which is taken to encompass all approaches offering meaning-based access to spoken...
There is a great demand to optimize the search engine of embedded speech recognition (ESR) system to make it applicable for low-resource portable devices. This paper focuses on the construction of a memory-efficient search space representation. To reduce the number of HMM models in prefix part, tree structured phonetic network is generally used. However, it still suffers from several kinds of redundancy,...
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