Parallel phoneme recognition algorithm based on continuous Hidden Markov Model

被引：0
|
作者：
Chung, Sang-Hwa [1 ]
Park, Min-Uk [1 ]
Kim, Hyung-Soon [1 ]
机构：
[1] Pusan Natl Univ, Pusan, Korea, Republic of
来源：
Proceedings of the International Parallel Processing Symposium, IPPS | 1999年
关键词：
Markov processes - MIM devices - Parallel algorithms - Probability - Real time systems - Speech recognition;
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学科分类号：
摘要：
This paper presents a parallel phoneme recognition algorithm based on the continuous Hidden Markov Model (HMM). The parallel phoneme recognition algorithm distributes 3-state HMMs of context dependent phonemes to the multiprocessors, computes output probabilities in parallel, and enhances the Viterbi beam search with a message passing mechanism. The algorithm is implemented in a multi-transputer system using distributed-memory MIMD multiprocessors. Experimental results show the feasibility of the parallel phoneme recognition algorithm in constructing a real-time parallel speech recognition system based on time-consuming continuous HMM.
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页码：453 / 457
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