Fast search algorithm for VQ-based recognition of isolated words

Sin-Horng Chen*, J. S. Pan

*Corresponding author for this work

研究成果: Article同行評審

29 引文 斯高帕斯(Scopus)

摘要

This paper presents a fast search algorithm for vector quantisation (VQ)-based recognition of isolated words. It incorporates the property of high correlation between speech feature vectors of consecutive frames with the method of triangular inequality elimination to relieve the computational burden of vector-quantising the test feature vectors by full code-book search, and uses the extended partial distortion method to compress the incomplete matching computations of widly mismatched words. Overall computational load can therefore be drastically reduced while the recognition performance of full search can be retained. Experimental results show that about 93% of multiplications and additions can be saved with a little increase of both comparisons and memory space.

原文English
頁(從 - 到)391-396
頁數6
期刊IEE Proceedings, Part I: Communications, Speech and Vision
136 pt 1
發行號6
DOIs
出版狀態Published - 1 十二月 1989

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