发明名称 |
ROBUSTNESS TO ENVIRONMENTAL CHANGES OF A CONTEXT DEPENDENT SPEECH RECOGNIZER |
摘要 |
An apparatus to improve robustness to environmental changes of a context dependent speech recognizer for an application, that includes a training database to store sounds for speech recognition training, a dictionary to store words supported by the speech recognizer, and a speech recognizer training module to train a set of one or more multiple state Hidden Markov Models (HMMs) with use of the training database and the dictionary. The speech recognizer training module performs a non-uniform state clustering process on each of the states of each HMM, which includes using a different non-uniform cluster threshold for at least some of the states of each HMM to more heavily cluster and correspondingly reduce a number of observation distributions for those of the states of each HMM that are less empirically affected by one or more contextual dependencies. |
申请公布号 |
US2011288869(A1) |
申请公布日期 |
2011.11.24 |
申请号 |
US20100785375 |
申请日期 |
2010.05.21 |
申请人 |
MENENDEZ-PIDAL XAVIER;CHEN RUXIN |
发明人 |
MENENDEZ-PIDAL XAVIER;CHEN RUXIN |
分类号 |
G10L15/14;G06F15/18;G06F17/30 |
主分类号 |
G10L15/14 |
代理机构 |
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地址 |
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