US 12,182,674 B2 · Sound detection for electronic devices

Abstract

The subject disclosure provides systems and methods for providing locally trained models for detecting individual sounds using electronic devices. Local detection of individual sounds with a detection model at an electronic device can be provided by obtaining training samples for the detection model with the electronic device, and generating additional negative and positive training samples based on the obtained training samples. A two-stage detection process may be provided, in which a trigger model at a device compares an audio input to a reference sound to trigger a detection model at the device. The detection of individual sounds with a detection model at an electronic device can also leverage audio capture capabilities of multiple devices in an acoustic scene to capture multiple concurrent training samples.

Claims28

Dependent claims

A method, comprising:

obtaining, with an electronic device, a sound input;
providing an audio signal based on the sound input to a first classifier at the electronic device;
determining, with the first classifier, that the audio signal meets a similarity threshold based on a comparison of the audio signal with a device-generated class prototype;
providing, based on the determining with the first classifier, the audio signal to a second classifier at the electronic device, the second classifier having been trained to detect a specific sound using at least one training sound sample captured by the electronic device and at least one device-generated training sound sample generated by the electronic device based on the at least one training sound sample;
and
generating, by the second classifier, an output indicating whether a specific sound is detected in the sound input.

3 more elements

Dependencies are inferred from the claim text.

Sound detection for electronic devices

Life of this patent

Sound detection for electronic devices

Life of this patent

Abstract

Claims28