Confidence features for automated speech recognition arbitration
AssigneeMicrosoft Technology Licensing, LLC
InventorsKshitiz Kumar, Hosam Khalil, Yifan Gong, Ziad Al-Bawab, Chaojun Liu
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AssigneeMicrosoft Technology Licensing, LLC
InventorsKshitiz Kumar, Hosam Khalil, Yifan Gong, Ziad Al-Bawab, Chaojun Liu
Estimating the term…
The described technology provides arbitration between speech recognition results generated by different automatic speech recognition (ASR) engines, such as ASR engines trained according to different language or acoustic models. The system includes an arbitrator that selects between a first speech recognition result representing an acoustic utterance as transcribed by a first ASR engine and a second speech recognition result representing the acoustic utterance as transcribed by a second ASR engine. This selection is based on a set of confidence features that is initially used by the first ASR engine or the second ASR engine to generate the first and second speech recognition results.
A speech recognition system for transforming an acoustic utterance into a transcribed speech recognition result by arbitrating between speech recognition results generated by a first automated speech recognition (ASR) engine and a second ASR engine, the system comprising:
A method of transforming an acoustic utterance into a transcribed speech recognition result by arbitrating to select between a first automated speech recognition (ASR) result and a second ASR result, the method comprising:
A method of transforming an acoustic utterance into a transcribed speech recognition result by initiating arbitration to select between a first speech recognition result and a second speech recognition result, the method comprising:
Dependencies are inferred from the claim text.