Invention Grant
- Patent Title: Automated deep learning based on customer driven noise diagnostic assist
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Application No.: US17304280Application Date: 2021-06-17
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Publication No.: US11804082B2Publication Date: 2023-10-31
- Inventor: Gaurav Talwar , Kenneth Ray Booker , William L. Villaire , Jeffery J. Milton , Mathew Anthony Clifford Keith Jones
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee Address: US MI Detroit
- Agency: Lorenz & Kopf, LLP
- Main IPC: G07C5/08
- IPC: G07C5/08 ; G06F18/24 ; G06F18/214

Abstract:
Methods and apparatus are provided for diagnosing a vehicle. In one embodiment, a method includes: initiating, by a processor, a recording of a noise by at least one microphone based on user selection data from a user of the vehicle; receiving, by the processor, audio signal data based on the recording; generating, by the processor, vector data based on the audio signal data; processing, by the processor, the vector data with at least one trained machine, by the processor, learning model to determine a classification of the noise; predicting, by the processor, an action to be taken based on the classification; and storing, by the processor, the audio signal data, the classification, and the action in a datastore.
Public/Granted literature
- US20220406106A1 AUTOMATED DEEP LEARNING BASED ON CUSTOMER DRIVEN NOISE DIAGNOSTIC ASSIST Public/Granted day:2022-12-22
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