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;

D O I：

暂无

中图分类号：

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.

引用

页码：453 / 457