Invention Grant
- Patent Title: Incorporating an exogenous large-vocabulary model into rule-based speech recognition
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Application No.: US15426640Application Date: 2017-02-07
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Publication No.: US10311878B2Publication Date: 2019-06-04
- Inventor: Travis Wilson , Salman Quazi , John Vicondoa , Pradip Fatehpuria
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G06F17/21 ; G10L15/32 ; G10L15/06 ; G10L15/18 ; G10L15/30 ; G10L15/197 ; G10L15/193

Abstract:
Incorporation of an exogenous large-vocabulary model into rule-based speech recognition is provided. An audio stream is received by a local small-vocabulary rule-based speech recognition system (SVSRS), and is streamed to a large-vocabulary statistically-modeled speech recognition system (LVSRS). The SVSRS and LVSRS perform recognitions of the audio. If a portion of the audio is not recognized by the SVSRS, a rule is triggered that inserts a mark-up in the recognition result. The recognition result is sent to the LVSRS. If a mark-up is detected, recognition of a specified portion of the audio is performed. The LVSRS result is unified with the SVSRS result and sent as a hybrid response back to the SVSRS. If the hybrid-recognition rule is not triggered, an arbitration algorithm is evoked to determine whether the SVSRS or the LVSRS recognition has a lesser word error rate. The determined recognition is sent as a response to the SVSRS.
Public/Granted literature
- US20170162204A1 INCORPORATING AN EXOGENOUS LARGE-VOCABULARY MODEL INTO RULE-BASED SPEECH RECOGNITION Public/Granted day:2017-06-08
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