首页>
外国专利>
FEATURE-BASED SPEECH RECOGNIZER HAVING PROBABILISTIC LINGUISTIC PROCESSOR PROVIDING WORD MATCHING BASED ON THE ENTIRE SPACE OF FEATURE VECTORS
FEATURE-BASED SPEECH RECOGNIZER HAVING PROBABILISTIC LINGUISTIC PROCESSOR PROVIDING WORD MATCHING BASED ON THE ENTIRE SPACE OF FEATURE VECTORS
展开▼
机译：具有概率语言处理程序的基于特征的语音识别器，基于特征向量的整个空间提供单词匹配
展开▼
页面导航
摘要
著录项
相似文献
摘要
A feature-based speech recognizer having a probabilistic linguistic processor provides word matching based on the entire space of feature vectors. In this manner, the errors and inaccuracies associated with the heretofore known feature-based speech recognizers, which provided word matching on less than the entire space of feature vectors, are overcome, thereby resulting in improved-accuracy speech recognition. The word matching may be on feature vectors computed either from segments or from landmarks or from both segments and landmarks. For word matching on segment-based feature vectors, acoustic likelihoods may be normalized by extra-acoustic likelihoods defined by at least one extra-acoustic ('not' or 'anti') model. Context-dependent and context-independent acoustic models may be employed.
展开▼
