Invention Grant
- Patent Title: System and method for ranking of hybrid speech recognition results with neural networks
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Application No.: US15353767Application Date: 2016-11-17
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Publication No.: US10170110B2Publication Date: 2019-01-01
- Inventor: Zhengyu Zhou , Rami Botros
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Maginot Moore & Beck LLP
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G10L15/065 ; G10L15/197 ; G10L15/22 ; G10L15/02 ; G10L15/06 ; G10L15/32 ; G10L15/08

Abstract:
A method for ranking candidate speech recognition results includes generating, with a controller, a plurality of feature vectors for the candidate speech recognition results, each feature vector including one or more of trigger pair features, a confidence score feature, and word-level features. The method further includes providing the plurality of feature vectors as inputs to a neural network, generating a plurality of ranking scores corresponding to the plurality of feature vectors for the plurality of candidate speech recognition results based on an output layer of the neural network, and operating the automated system using the candidate speech recognition result in the plurality of candidate speech recognition results corresponding to a highest ranking score in the plurality of ranking scores as input.
Public/Granted literature
- US20180137857A1 System And Method For Ranking of Hybrid Speech Recognition Results With Neural Networks Public/Granted day:2018-05-17
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