Spoken Utterance Classification Training for a Speech Recognition System
AssigneeMicrosoft Corporation
InventorsYun-Cheng Ju, James Garnet Droppo, III
Life of this patent
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AssigneeMicrosoft Corporation
InventorsYun-Cheng Ju, James Garnet Droppo, III
Estimating the term…
The subject disclosure is directed towards training a classifier for spoken utterances without relying on human-assistance. The spoken utterances may be related to a voice menu program for which a speech comprehension component interprets the spoken utterances into voice menu options. The speech comprehension component provides confirmations to some of the spoken utterances in order to accurately assign a semantic label. For each spoken utterance with a denied confirmation, the speech comprehension component automatically generates a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels and updates a classification model associated with the classifier using the pseudo-semantic label.
In a computing environment, a method performed at least in part on at least one processor, comprising, providing a classifier for a speech recognition system, including, processing spoken utterances associated with the speech recognition system, for each spoken utterance having a denied confirmation, assigning a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels, and updating a classification model associated with the classifier using each assigned pseudo-semantic label.
In a computing environment, a system, comprising, a speech comprehension component configured to interpret spoken utterances using a classifier, wherein the speech comprehension component is further configured to generate output data comprising semantic labels for the spoken utterances and pseudo semantic labels for a portion of the spoken utterances having denied confirmations, to train a classification model associated with the classifier with the pseudo semantic labels and settled ones of the semantic labels and to use the classification model to navigate a speaking entity to desired information.
One or more computer-readable media having computer-executable instructions, which when executed perform steps, comprising:
Dependencies are inferred from the claim text.