Large-vocabulary recognition

Christian Dugast
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引用次数: 3

Abstract

Large-vocabulary continuous-speech recognition (CSR) technology is at work. As an application of the technology, we will describe a dictation system (DS). Input to the system is unrestricted spontaneous speech. No adaptation, no special skills are required to use the system. The DS transforms continuous speech into written text. It is essential in this application that the user is free to speak as he or she usually does and should be free to use his or her own wording and formulation. This implies speech recognition for large and open vocabularies, free syntax, continuous speech. The aim of the paper is an attempt to determine what is feasible with today's technology and what will be feasible in the near future. The problems addressed are: what are the limits of today's technology, what is needed to make the next step, i.e. going towards real industrialization of CSR technology.

词汇量识别
大词汇连续语音识别(CSR)技术正在发挥作用。作为该技术的一个应用,我们将描述一个听写系统(DS)。系统的输入是不受限制的自发语音。使用该系统不需要适应,也不需要特殊技能。DS将连续的语音转换成书面文本。在此应用程序中,用户必须像往常一样自由发言,并且应该自由使用他或她自己的措辞和表述。这意味着语音识别的大而开放的词汇,自由的语法,连续的语音。本文的目的是试图确定什么是可行的与今天的技术和什么将是可行的在不久的将来。解决的问题是:当前技术的极限是什么,下一步需要做什么,即走向企业社会责任技术的真正产业化。
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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