A Parallel Phoneme Recognition Algorithm Based on Continuous Hidden Markov Model

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 distributedmemory MIMD multiprocessors. Experimental results show the feasibility of the parallel phoneme recognition algorithm in constructing a real-time parallel speech recognition system based on timeconsuming continuous HMM.

• Type: Conference
• Year: 1999
• Where: IPPS
• Authors: Sang-Hwa Chung, Min-Uk Park, Hyung-Soon Kim
• Keywords: Distributed And Parallel Computing, IPPS 1999, Parallel Phoneme Recognition, Parallel Speech Recognition, Phoneme Recognition Algorithm