A Study of Variability & A Feature-Based Approach to Speech Recognition

小行星9310518 这是一个为期三年的连续奖项的第一年，该奖项旨在研究说话人的可变性和基于特征的语音识别方法。 说话人变异性研究建立从目前的知识考虑的一个自发的语音数据库的分类和建模识别的目的。 预计系统的变化将显示在这项研究中，它可能是可能的，以表示它的词汇表示的话，缓解要求的培训识别系统。 像延音这样的现象的表示提供了一个例子，说明一个词项和它可能的声学实现之间更普遍的可能的一致性。 语音功能的研究进行了搜索的来源，可能会减少变异性，并披露剩余的，希望更少，可能是中央的因素，以促进基于特征的识别。

9310518 Espy-Wilson This is the first year of a three-year continuing award to investigate speaker variability and a feature-based approach to speech recognition. The speaker variability study builds from current knowledge to consideration of a spontaneous speech database with the purpose of categorization and modelling for recognition purposes. It is anticipated that systematic variability will show in this study and that it may be possible to represent it within the lexical representation of words, easing requirements for training of recognition systems. The representation of phenomena such as lenition provides an example of the more general possible agreement between a lexical item and its possible acoustic realizations. A study of speech features in relational terms is carried out to search for sources that may decrease variability and to disclose the remaining, hopefully fewer, factors that may be central to their correlates in order to facilitate feature-based recognition.