"Word Recognition Based on Phonetic Features and Acoustic Properties"

《基于语音特征和声学特性的单词识别》

• 批准号: 8910561
• 负责人: Kenneth Stevens
• 金额: $ 48.85万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-08-01 至 1994-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8910561&HistoricalAwards=false
• 关键词: Word; Recognition; Based; Phonetic; Features

This three-year continuing grant will support a study of word recognition in continuous speech. New principles of phonetic and acoustic indexing will be developed through analysis of selected utterances gathered under controlled conditions. Landmark features in acoustic signals will be identified and characterized, together with quantifiable relationships of other features to these landmarks. The investigators will produce a small lexicon indexed by these phonetic features, test its effectiveness in word recognition, and begin development of a system for automatic extraction of phonetic features. The ultimate impact may be a new theory of phonetic encoding and a more efficient method of automatic speech recognition.

这笔为期三年的持续拨款将支持一项关于连续语音中单词识别的研究。将通过对在受控条件下收集的选定话语的分析，开发语音和声学索引的新原则。声信号中的地标特征将被识别和表征，以及其他特征与这些地标的可量化关系。研究人员将制作一个以这些语音特征为索引的小词典，测试其在单词识别中的有效性，并开始开发一个自动提取语音特征的系统。最终的影响可能是一种新的语音编码理论和一种更有效的自动语音识别方法。