MULTI-SPEAKER DATA AUGMENTATION FOR IMPROVED END-TO-END AUTOMATIC SPEECH RECOGNITION
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United States of America Patent
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Issued Date -
Oct 3, 2024
app pub date -
Mar 31, 2023
filing date -
Mar 31, 2023
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Abstract
Features of two or more single speaker utterances are concatenated together and corresponding labels of the two or more single speaker utterances are concatenated together. Single speaker acoustic embeddings for each of the single speaker utterances of the concatenated single speaker utterances are generated using a single speaker teacher encoder network. An enhanced model is trained on the concatenated single speaker utterances using a classification loss LCLASS and a representation similarity loss LREP, the representation similarity loss LREP defined to influence an embedding derived from the concatenated single speaker utterances, the influence being based on the single speaker acoustic embeddings derived from the single speaker teacher encoder network.
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