Automatic alternative transcription generation and vocabulary selection for flexible word recognizers
Automatic alternative transcription generation and vocabulary selection for flexible word recognizers
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灵活的单词识别器的自动替代转录生成和词汇选择
DOI：
10.1109/icassp.1997.596225
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
J. M. Elvira
中科院分区：
文献类型：
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作者：
D. Toledano;L. Villarrubia;L. A. H. Gómez;J. M. Elvira
随着使用灵活词汇识别器（FVRs）的新型语音应答系统的出现，单词混淆度的预测在过去几年中受到越来越多的关注。我们提出了一种基于新的统计建模准则的转录混淆估计新方法。我们建议在fvr的两种不同的单词错误率（WER）降低程序中使用新的转录混淆性度量：一种是适用于词汇集未完全由应用程序定义的应用程序的自动词汇选择程序，另一种是用于生成替代转录的自动程序。使用电话数据库的实验结果表明，对于一个37个单词的词汇表，使用自动替代转录生成程序可以使WER相对降低20%，使用我们的无限制（受同义词组限制）词汇选择程序而不是随机单词选择程序可以使WER相对降低50%（20%）。
In accordance with the new emerging voice response systems that use flexible vocabulary recognizers (FVRs), the prediction of word confusabilities have received increasing interest during the last few years. We present a new method for transcription confusabilities estimation based on a new statistical modelling criterion. We propose the use of the new transcription confusability measure in two different word error rate (WER) reduction procedures for FVRs: an automatic vocabulary selection procedure suitable for those applications where the set of vocabulary words is not totally defined by the application, and an automatic procedure for generation of alternative transcriptions. Experimental results using a telephonic database show a 20% WER relative reduction using the automatic alternative transcription generation procedure for a 37 word vocabulary, and over a 50% (20%) WER relative reduction using our unrestricted (restricted by groups of synonyms) vocabulary selection procedure instead of random word selection.