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DisneyGranted patentAI & softwareInterest 6/10

Disney patents system that turns machine sounds into words to spot faults

Disney has secured a patent for a system that listens to the sounds made by a machine or device. It uses a machine learning model to translate those sounds into descriptive words, then compares them to a known 'healthy' profile to detect if something is wrong.

Why it mattersThis approach could make it easier for maintenance teams to understand complex machinery issues by converting raw audio data into simple, readable text alerts.

In the filing’s own words

A system includes a processor and a memory storing software code and a machine learning (ML) model. The processor executes the software code to receive data including a sequence of acoustic signals or a corresponding spectrogram and an identifier of a source of the acoustic signals, translate, using the ML model, the acoustic signals or the spectrogram to one or more words each describing a respective acoustic signal pattern included in the sequence of acoustic signals or represented in the spectrogram, and obtain, using the identifier of the source, a predetermined word-based description of an acoustic signature of the source. The software code is further executed to determine, using the translated one or more words and the word-based description, whether an anomaly of the source is indicated, and output, when an anomaly is indicated, an alert.

What exactly they claim (claim 1)

1. A system comprising: a hardware processor and a system memory storing a software code and a machine learning (ML) model; the hardware processor configured to execute the software code to: receive data including a sequence of acoustic signals or a spectrogram corresponding to the sequence of acoustic signals, and an identifier of a source of the sequence of acoustic signals; translate, using the ML model, the sequence of acoustic signals or the spectrogram to one or more words each describing a respective acoustic signal pattern included in the sequence of acoustic signals or represented in the spectrogram; obtain, using the identifier of the source, a predetermined word-based description of an acoustic signature of the source; determine, using the translated one or more words and the word-based description, whether an anomaly of the source is indicated; and output, when the anomaly is indicated, an alert.

Facts

Company
Disney (Disney Enterprises, Inc.)
Official title
Machine learning model-based acoustic signal-to-text translation
Patent number
US12742704B2
Application number
18916528
Filed
Oct 15, 2024
Granted
Sep 22, 2026
Inventors
2
Claims
22

Classified under

G01M 99/005 Physics & computingG01H 17/00 Physics & computingG06F 40/58 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.