Invention Grant
US09043213B2 Speech recognition and synthesis utilizing context dependent acoustic models containing decision trees 有权
利用包含决策树的上下文相关声学模型进行语音识别和综合

Speech recognition and synthesis utilizing context dependent acoustic models containing decision trees
Abstract:
A speech recognition method including the steps of receiving a speech input from a known speaker of a sequence of observations and determining the likelihood of a sequence of words arising from the sequence of observations using an acoustic model. The acoustic model has a plurality of model parameters describing probability distributions which relate a word or part thereof to an observation and has been trained using first training data and adapted using second training data to said speaker. The speech recognition method also determines the likelihood of a sequence of observations occurring in a given language using a language model and combines the likelihoods determined by the acoustic model and the language model and outputs a sequence of words identified from said speech input signal. The acoustic model is context based for the speaker, the context based information being contained in the model using a plurality of decision trees and the structure of the decision trees is based on second training data.
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