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公开(公告)号：US12223948B2
公开(公告)日：2025-02-11
申请号：US17649810
申请日：2022-02-03
Applicant: SoundHound, Inc.
Inventor： Pranav Singh , Saraswati Mishra , Eunjee Na
Abstract: Methods and systems for correction of a likely erroneous word in a speech transcription are disclosed. By evaluating token confidence scores of individual words or phrases, the automatic speech recognition system can replace a low-confidence score word with a substitute word or phrase. Among various approaches, neural network models can be used to generate individual confidence scores. Such word substitution can enable the speech recognition system to automatically detect and correct likely errors in transcription. Furthermore, the system can indicate the token confidence scores on a graphic user interface for labeling and dictionary enhancement.
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