USING A* FOR THE PARALLELIZATION OF SPEECH RECOGNITION SYSTEMS

被引：0

作者：

Cardinal, Patrick ^{[1
]}

Boulianne, Gilles ^{[1
]}

Dumouchel, Pierre ^{[1
]}

机构：

[1] Ctr Rech Informat Montreal, Montreal, PQ H3T 1P1, Canada

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2012年

关键词：

Speech recognition; A*; parallelization;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The speed of modern processors has remained constant over the last few years but the integration capacity continues to follow Moore's law and thus, to be scalable, applications must be parallelized. This paper presents results in using the A* search algorithm in a large vocabulary speech recognition parallel system. This algorithm allows better parallelization over the Viterbi algorithm. First experiments with a "unigram approximation" heuristic resulted in approximatively 8.7 times less states being explored compared to our classical Viterbi decoder. The multi-thread implementation of the A* decoder led to a speed-up factor of 3 over its sequential counterpart.

引用

页码：4433 / 4436

页数：4

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