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用于麻醉记录保存的计算机语音识别

Computerized speech recognition for anesthesia recordkeeping.

作者信息

Sarnat A J

出版信息

Med Instrum. 1983 Jan-Feb;17(1):25-7.

PMID:6843410
Abstract

EARS, a computerized speech recognition system, has been developed to simplify data entry for automated anesthesia recordkeeping. As an isolated-word, speaker-dependent system, it uses a predefined vocabulary of about 350 words, each of which must first be pronounced by the user to train the computer to his voice. Thereafter, data are entered by spoken words separated by brief pauses and organized into sentences according to a specified syntax. Completed sentences are read back to the user by a speech synthesizer to verify the recognition. Errors can be corrected before they are recorded. Attention to human factors is an important design goal. Performance has not yet been measured, but appears acceptable.

摘要

EARS是一种计算机化语音识别系统,其开发目的是简化自动麻醉记录的数据录入。作为一个孤立词、依赖说话者的系统,它使用大约350个单词的预定义词汇表,用户必须先读出每个单词,以便计算机根据其声音进行训练。此后,通过短暂停顿隔开的语音输入数据,并根据指定的语法组织成句子。语音合成器会将完整的句子读回给用户以验证识别情况。错误在记录之前可以纠正。关注人为因素是一个重要的设计目标。虽然尚未对性能进行测量,但看起来是可以接受的。

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