End-to-end multi-talker overlapping speech recognition
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United States of America
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Apr 1, 2025
Grant Date -
Mar 16, 2023
app pub date -
Nov 15, 2022
filing date -
Nov 15, 2022
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Abstract
A method for training a speech recognition model with a loss function includes receiving an audio signal including a first segment corresponding to audio spoken by a first speaker, a second segment corresponding to audio spoken by a second speaker, and an overlapping region where the first segment overlaps the second segment. The overlapping region includes a known start time and a known end time. The method also includes generating a respective masked audio embedding for each of the first and second speakers. The method also includes applying a masking loss after the known end time to the respective masked audio embedding for the first speaker when the first speaker was speaking prior to the known start time, or applying the masking loss prior to the known start time when the first speaker was speaking after the known end time.
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