Robust and efficient confidence measure for isolated command recognition

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI:10.1109/ASRU.2001.1034681

G. Hernández-Abrego, X. Menéndez-Pidal, L. Olorenshaw

引用次数: 4

Abstract

A new confidence measure for isolated command recognition is presented. It is versatile and efficient in two ways. First, it is based exclusively on the speech recognizer's output. In addition, it is robust to changes in the vocabulary, acoustic model and parameter settings. Its calculation is very simple and it is based on the computation of a pseudo-filler score from an N-best list. Performance is tested in two different command recognition applications. Finally, it is efficient to separate correct results both from incorrect ones and from false alarms caused by out-of-vocabulary elements and noise.

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隔离命令识别的鲁棒高效置信度方法

提出了一种新的孤立命令识别置信度测度。它在两个方面是通用和高效的。首先，它完全基于语音识别器的输出。此外，它对词汇、声学模型和参数设置的变化具有鲁棒性。它的计算非常简单，它基于从n个最佳列表中计算一个伪填充分数。性能测试在两个不同的命令识别应用程序。最后，将正确的结果与不正确的结果以及由词汇外元素和噪声引起的假警报分开是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.

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