Patent Document ID: 10089978
Application ID: 15823074

Base Claim:
1. A method for estimating automatic speech recognition (ASR) accuracy, the method comprising: obtaining transcriptions of utterances in a conversation over two channels; sorting the transcriptions along a time axis using a forced alignment; training a language model with the sorted transcriptions; performing ASR for utterances in a conversation between a first user and a second user, the second user being a target of ASR accuracy estimation; determining whether an ASR result of the second user is consistent or inconsistent with an ASR result of the first user using the trained language model; listing word sequences that have at least one word from the first user followed by a word from the second user; and estimating the ASR result of the second user as poor responsive to the ASR result of the second user being as inconsistent with the ASR result of the first user.

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Claim 15:
15. The method of claim 1 , further comprising retraining the language model with any of the transcriptions from the second user being removed for the retraining to improve an accuracy of the language model, responsive to the ASR result of the second user being estimated as poor.