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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
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机译：具有特征语言处理器的基于特征的语音识别器，可基于特征向量的整个空间提供单词匹配
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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.
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