Invention Application
- Patent Title: GENERATING SIMULATED AUDIO SAMPLES FOR PREDICTIVE MODEL TRAINING DATA
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Application No.: US17738501Application Date: 2022-05-06
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Publication No.: US20220366931A1Publication Date: 2022-11-17
- Inventor: Kathryn Janet Ferguson , Casey Lee CAMPBELL , Jan P. ALLEBACH , Mark Quentin SHAW , John Stuart BOLTON , George T. CHIU , Patricia DAVIES , Guochenhao SONG , Zhiyang WEN
- Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
- Applicant Address: US TX Spring
- Assignee: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
- Current Assignee: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
- Current Assignee Address: US TX Spring
- Main IPC: G10L25/21
- IPC: G10L25/21 ; G10L25/18

Abstract:
An example method comprises identifying a plurality of zones of a spectrogram of an audio sample associated with an operation cycle of an imaging device, generating a set of audio models by transforming the audio sample to a power spectrum and identifying a plurality of audio features within the power spectrum and for the plurality of zones, generating a plurality of simulated audio samples using the set of audio models by adjusting an audio feature of the plurality of audio features, and outputting a set of training data including the audio sample and the plurality of simulated audio samples to train a predictive model indicative of a predicted failure of the imaging device.
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