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Deepfake Music Detection Apparatus Using AI Classification

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Published March 26th, 2026
Detected March 31st, 2026
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Summary

The USPTO published patent application US20260087313A1 for BRAINDECK INC. on March 26, 2026, covering an AI-based apparatus and method for detecting deepfake music. The system analyzes audio features, voice separation probability, and neural vocoder usage to determine whether audio content is synthetically generated. Application No. 18929273 was filed on October 28, 2024.

What changed

BRAINDECK INC. filed patent application US20260087313A1 disclosing an AI-based deepfake music detection apparatus. The system comprises five components: an input unit for receiving audio data, a feature extracting unit, a voice separation detecting unit that calculates the probability of voice separation processing having been applied, a neural vocoder detecting unit that evaluates the likelihood of synthetic voice generation via neural vocoder, and a deepfake determining unit. CPC classifications include G06N 3/0455 (neural network architectures) and G06N 3/094 (neural network learning methods).

Patent applications do not impose compliance obligations on third parties. Technology companies developing audio content platforms, music streaming services, or AI synthesis tools should monitor this application to understand BRAINDECK's claimed detection methodology and assess potential implications for their own product development or defensive IP strategies. No action is required as this is an administrative patent publication.

Source document (simplified)

← USPTO Patent Applications

APPARATUS AND METHOD FOR DETECTING DEEPFAKE MUSIC

Application US20260087313A1 Kind: A1 Mar 26, 2026

Assignee

BRAINDECK INC.

Inventors

Yeo Reum JUNG, Young Min SEO

Abstract

A deepfake music detection apparatus according to the present disclosure includes an input unit which receives audio data, a feature extracting unit which extracts sound features from the audio data, a voice separation detecting unit which acquires a voice separation probability which is a probability of performing voice separation processing on voices included in the audio data, from the sound feature, a neural vocoder detecting unit which acquires a neural vocoder probability which is a probability of generating voices included in the audio data through a neural vocoder, and a deepfake determining unit which determines whether the audio data is deepfake using the voice separation probability and the neural vocoder probability.

CPC Classifications

G06N 3/0455 G06N 3/094 G10L 25/30 G10L 25/51

Filing Date

2024-10-28

Application No.

18929273

View original document →

Named provisions

Input Unit Feature Extracting Unit Voice Separation Detecting Unit Neural Vocoder Detecting Unit Deepfake Determining Unit

Classification

Agency
USPTO
Published
March 26th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Draft
Change scope
Minor
Document ID
US20260087313A1
Docket
18929273

Who this affects

Applies to
Technology companies Legal professionals
Industry sector
3341 Computer & Electronics Manufacturing 5112 Software & Technology
Activity scope
AI-based audio classification Deepfake detection technology
Geographic scope
United States US

Taxonomy

Primary area
Artificial Intelligence
Operational domain
Legal
Topics
Intellectual Property Cybersecurity

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