Difference between revisions of "MULTI-TASK LEARNING FOR PERSONALIZED KEYWORD SPOTTING: abstract simplified (18153932)"
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| − | Systems and techniques are described for processing audio data using personalized keyword spotting through multi-task learning (PK-MTL). This involves obtaining an audio sample and generating representations of both a keyword and a speaker based on the sample. | + | Systems and techniques are described for processing audio data using personalized keyword spotting through multi-task learning (PK-MTL). This involves obtaining an audio sample and generating representations of both a keyword and a speaker based on the sample. The speaker is associated with the keyword. A similarity score is calculated based on a reference representation and either the keyword representation or the speaker representation. This score is then analyzed against a threshold to determine if the audio sample includes the target keyword. |
Revision as of 16:13, 1 October 2023
Systems and techniques are described for processing audio data using personalized keyword spotting through multi-task learning (PK-MTL). This involves obtaining an audio sample and generating representations of both a keyword and a speaker based on the sample. The speaker is associated with the keyword. A similarity score is calculated based on a reference representation and either the keyword representation or the speaker representation. This score is then analyzed against a threshold to determine if the audio sample includes the target keyword.
