Relationship among phoneme/word recognition rate, perplexity and sentence recognition and comparison of language models

Authors:
Seiichi Nakagawa;Isao Murase
Affiliations:
Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Japan;Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Japan
Venue:
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Year:
1992

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Abstract

An evaluation technique is very important to develop a successful continuous speech recognition system. The branching factor and the perplexity have been used to measure the complexity of speech recognition task. In this paper. we describe our evaluation method based on such a measure. We found the relationship among perplexity (Vp) on word-unit (or phoneme-unit. sentence length (L). word (or phoneme) recognition rate(Rw) and sentence recognition rate. So. from this relationship. we can predict the sentence recognition rate. if the word (or phoneme) recognition performance and task definition are given. The approximate equation is follows: Sentence recognition rate = (f(Vp,Rw))L, where f(V p,Rw) denotes the word recognition rate for the vocabulary size Vp obtained by using this recognizer (Rw) and this is estimated from the relationship between the number of categories and recognition rate.