Patent ID: 11948599
Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. The computerized method of claim 11, further comprising, at training time:
receiving a raw audio signal;
tagging respective portions of the raw audio signal with ground truth labels for the plurality of classes of audio events;
obtaining semi-synthetic audio signals;
augmenting the raw audio signal with the semi-synthetic audio signals to thereby generate a consolidated audio signal including a normalized time domain representation of the raw audio signal and the semi-synthetic audio signals;
dividing the consolidated audio signal into a plurality of training segments, each training segment of the plurality of training segments overlapping at least one adjacent training segment by another overlap amount and retaining any of the ground truth labels with which the training segments is associated;
processing each training segment the plurality of training segments in another time domain to generate another normalized time domain representation of each training segment the plurality of training segments, the plurality of segments being tagged with the ground truth labels for the plurality of classes of audio events, to thereby form a training data set of normalized time domain representations; and
training a neural network to classify the normalized time domain representation of each segment the plurality of segments with a predicted classification score for each of the plurality of classes of audio events, based on the training data set.