Method and system for generating and searching an optimal maximum likelihood decision tree for hidden markov model (hmm) based speech recognition
作者： Quingwei Zhao , Qing Guo , Yonghong Yan , Zhiwei Lin , Baosheng Yuan
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摘要: A method and system for generating searching an optimal likelihood decision tree hidden markov model (HMM) based speech recognition are described. Speech signals received. The received processed to generate a plurality of phoneme clusters. clusters grouped into first cluster node second node. determination is made if in the note be moved on increase phone from being
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