Sciweavers

Share
IPPS
1999
IEEE

A Parallel Phoneme Recognition Algorithm Based on Continuous Hidden Markov Model

9 years 4 months ago
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.
Sang-Hwa Chung, Min-Uk Park, Hyung-Soon Kim
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where IPPS
Authors Sang-Hwa Chung, Min-Uk Park, Hyung-Soon Kim
Comments (0)
books