Invention Grant
- Patent Title: Method for detecting and classifying coughs or other non-semantic sounds using audio feature set learned from speech
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Application No.: US17507461Application Date: 2021-10-21
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Publication No.: US11862188B2Publication Date: 2024-01-02
- Inventor: Jacob Garrison , Jacob Scott Peplinski , Joel Shor
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: McDonnell Boehnen Hulbert & Berghoff LLP
- Main IPC: G10L25/66
- IPC: G10L25/66 ; G10L15/02 ; G10L15/06 ; G10L15/04 ; A61B5/00 ; G16H40/67 ; A61B5/08 ; G10L25/78 ; G10L25/51 ; G10L25/30

Abstract:
A method of detecting a cough in an audio stream includes a step of performing one or more pre-processing steps on the audio stream to generate an input audio sequence comprising a plurality of time-separated audio segments. An embedding is generated by a self-supervised triplet loss embedding model for each of the segments of the input audio sequence using an audio feature set, the embedding model having been trained to learn the audio feature set in a self-supervised triplet loss manner from a plurality of speech audio clips from a speech dataset. The embedding for each of the segments is provided to a model performing cough detection inference. This model generates a probability that each of the segments of the input audio sequence includes a cough episode. The method includes generating cough metrics for each of the cough episodes detected in the input audio sequence.
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