发明授权
US09031844B2 Full-sequence training of deep structures for speech recognition 有权
用于语音识别的深层结构的全序训练

Full-sequence training of deep structures for speech recognition
摘要:
A method includes an act of causing a processor to access a deep-structured model retained in a computer-readable medium, the deep-structured model includes a plurality of layers with respective weights assigned to the plurality of layers, transition probabilities between states, and language model scores. The method further includes the act of jointly substantially optimizing the weights, the transition probabilities, and the language model scores of the deep-structured model using the optimization criterion based on a sequence rather than a set of unrelated frames.
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