Patent ID: 11948553
Assignee: PINDROP SECURITY, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 19:
20. The system according to claim 19, wherein when training a task-specific machine learning model the server is further configured to:
extract one or more first spectro-temporal features for speech portions of a training audio signal and one or more second spectro-temporal features for non-speech portions of the training audio signal;
apply one or more modeling layers of the task-specific machine learning model on the one or more first spectro-temporal features and the one or more second spectro-temporal features to generate a first speaker-independent embedding and a second speaker-independent embedding;
generate predicted output data for the training audio signal by applying one or more post-modeling layers of the task-specific machine learning model on the first speaker-independent embedding and on the second speaker-independent embedding; and
adjust one or more hyper-parameters of the one or more modeling layers of the task-specific machine learning model by executing a loss function using the predicted output data and expected output data indicated by one or more labels associated with the training audio signal.