SPEECH RECOGNITION SYSTEM USING PARALLEL MICROCOMPUTER

摘要

When beam searching in speech recognition using a hidden Markov model (HMM) is performed, speech signals of each frame are divided into partial sections of recognition elements such as words, or phonemes, and the width of the beams in each frame are so controlled as to have a value which is an integral multiple of the degree of parallel processing which is the number of arithmetic processings executed simultaneously by a parallel microcomputer. That is, blocks extracted from a series of continuous nodes in a group of search paths (nodes on a trellis) whose number is an integral multiple of the degree of parallel processing are managed by using a table, and the search block in the next frame is determined in each frame to execute efficient beam searching. In this case, the beam width may be adjusted within a range of an integral multiple of the degree of parallel processing if necessary. Since search nodes are selected and data are managed in accordance with the characteristics of a parallel arithmetic unit, the speech recognition system which uses a parallel computer and which processes speech recognition using an HMM with beam searching of high parallel processing efficiency is provided.