Prescan Device Activation Prevention via Two-Pass Audio Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for controlling device functionality through audible controls are inaccurate, resource-intensive, and lack flexibility, often leading to unintended device activation due to phonetic matches in multimedia content.
Innovation Solution
A two-pass audio detection method that analyzes text and audio data for phonetic matches with activation terms, flags potential triggers, and generates control actions to prevent device activation, ensuring the device remains in a deactivated state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional audio detection methods are used to control device functionality, then the device can be activated by audible terms, but the process is inaccurate and leads to unintended device activation due to phonetic matches
Solution Approach 1:
The patent divides the audio detection process into two separate passes: a first pass that identifies potential phonetic matches between activation terms and audio content, and a second pass that verifies whether these matches constitute actual activation commands. This segmentation allows the system to distinguish between incidental phonetic similarities and genuine activation intents, thereby improving accuracy and preventing unintended activation.
Solution Approach 2:
The system performs preliminary analysis in the first pass to identify and flag potential phonetic matches before final activation decisions are made. By pre-identifying suspicious terms and performing preliminary verification, the system can prevent unintended activation before it occurs, rather than reacting after activation has already happened.
2Measurement precision
If comprehensive audio analysis is performed to improve activation accuracy, then fewer false activations occur, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The two-pass analysis structure divides the computationally intensive audio analysis into two distinct phases. The first pass performs a quicker initial scan to identify only potential matches, while the second pass performs detailed verification only on those specific candidates. This segmentation reduces overall processing time compared to analyzing every audio segment in detail, while still maintaining high accuracy through selective deep analysis.
Solution Approach 2:
The system applies partial analysis to the entire audio file by first performing a lightweight scan of all content, then applying full detailed analysis only to the small subset of segments that show potential phonetic matches. This partial/excessive action approach ensures thorough verification where needed while avoiding unnecessary detailed analysis of irrelevant audio portions, thus reducing overall time consumption.
3Measurement precision
If phonetic matching is performed on all audio content, then potential activation terms are identified, but privacy and security risks increase due to extensive audio processing
Solution Approach 1:
The patent segments the audio processing into two stages with different levels of scrutiny and data handling. The first pass identifies potential matches with minimal data retention, and only the small subset of flagged segments proceeds to the second pass. This segmentation limits the amount of audio data that requires extensive processing and storage, thereby reducing privacy and security risks while maintaining identification accuracy.
Solution Approach 2:
The system extracts and isolates only the specific audio segments that contain potential phonetic matches, separating them from the rest of the audio content. By extracting only the relevant portions for further analysis, the system minimizes the amount of sensitive audio data that needs to be processed, stored, and protected, thereby reducing overall privacy and security risks while maintaining effective activation term identification.
Data Source
AI summary
A method and system for improving audio detection is provided. The method includes receiving activation term data and text data of a multimedia file. The text data is analyzed and potential phonetic matches between a set of terms and the activation term are determined. An audio portion of the multimedia file is analyzed with respect to the potential phonetic matches and a resulting subset of terms is determined. A term is selected from the subset and flagged. An associated control action for preventing an automated device from being enabled is generated and stored. Presentation of the flagged term is detected within the multimedia file being presented and the control action is executed such that the automated device remains in the deactivated state.