Towards choosing better primes for spoken dialog systems

2011 IEEE Workshop on Automatic Speech Recognition & Understanding Pub Date : 2011-12-01 DOI:10.1109/ASRU.2011.6163949

José Lopes, M. Eskénazi, I. Trancoso

引用次数: 11

Abstract

When humans and computers use the same terms (primes, when they entrain to one another), spoken dialogs proceed more smoothly. The goal of this paper is to describe initial steps we have found that will enable us to eventually automatically choose better primes in spoken dialog system prompts. Two different sets of prompts were used to understand what makes one prime more suitable than another. The impact of the primes chosen in speech recognition was evaluated. In addition, results reveal that users did adopt the new vocabulary introduced in the new system prompts. As a result of this, performance of the system improved, providing clues for the trade off needed when choosing between adequate primes in prompts and speech recognition performance.

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为口语对话系统选择更好的词

当人类和计算机使用相同的术语(质数，当它们彼此连用时)，口语对话进行得更顺利。本文的目标是描述我们发现的初始步骤，这些步骤将使我们最终能够在口语对话系统提示中自动选择更好的启动词。我们使用了两组不同的提示来理解是什么让一个素数比另一个更合适。评价了所选词对语音识别的影响。此外，结果显示，用户确实采用了新系统提示中引入的新词汇。因此，系统的性能得到了提高，为在提示和语音识别性能之间选择适当的素数提供了折衷的线索。

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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2011 IEEE Workshop on Automatic Speech Recognition & Understanding

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