Evaluating the Use of Prosodic Information in Speech Recognition an Understanding

NSF/DARPA联合图像倡议 理解和语音识别是研究韵律的 作为语音识别和理解的工具。 韵律 包括词汇和短语的重音、语调 轮廓和韵律短语结构。 分离这些 从语音分析的句法成分的过程应该 减少单词错误率，并为预期含义提供线索。 奥斯滕多夫、普莱斯和沙塔克-赫夫纳格尔博士将开始， 无线电播音员讲话的研究（已经在NSF资助下开始 IRI-8805680），并将其研究结果纳入口语 SRI International的语言系统。

This award in the NSF/DARPA Joint Initiative on Image Understanding and Speech Recognition is for the study of prosody as a tool in speech recognition and understanding. Prosody includes such features as lexical and phrasal stress, intonation contours, and metrical phrase structure. Separating these processes from the syntactic elements of speech analysis should reduce word error rates and provide clues to intended meaning. Drs. Ostendorf, Price, and Shattuck-Hufnagel will begin with a study of radio-announcer speech (already begun under NSF Grant IRI-8805680), and will incorporate their findings into the spoken language system at SRI International.