Selective Audio Removal via Adaptive Filtering
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Solution Overview
Problem
Conventional techniques fail to efficiently remove copyrighted audio content from mixed audio recordings while preserving non-copyrighted portions, such as speech, in media files like video files, which often contain both copyrighted songs and spoken content.
Innovation Solution
A system and method that utilize a filter component with identification and processing features to selectively remove sound recordings from mixed audio recordings using signal processing algorithms like adaptive filtering and spectral subtraction, allowing for the preservation of non-copyrighted audio content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional audio processing techniques are used to remove audio content from mixed recordings, then the removal process is simple, but the ability to selectively remove only copyrighted content while preserving non-copyrighted content is insufficient
Solution Approach 1:
The patent segments the mixed audio recording into distinct components by identifying and separating copyrighted audio content from non-copyrighted content using fingerprinting technology and signal processing algorithms. This allows selective removal of only the copyrighted portions while preserving speech and other legitimate content.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between the mixed audio recording and the final output. This system uses audio fingerprinting, spectral analysis, and adaptive filtering as intermediary techniques to identify and selectively remove copyrighted content without directly manipulating the entire audio signal.
2Reliability
If the entire audio recording is removed to ensure copyright compliance, then copyright issues are resolved, but legitimate non-copyrighted content such as speech is also lost
Solution Approach 1:
The patent extracts only the copyrighted audio content from the mixed recording for removal, while leaving the non-copyrighted content intact. This is achieved through audio fingerprinting to identify copyrighted segments and adaptive filtering to separate and remove only those specific segments from the mixed signal.
Solution Approach 2:
The patent applies different processing qualities to different portions of the audio recording. Copyrighted segments are completely removed, while non-copyrighted segments are preserved with their original quality intact. This local differentiation ensures copyright compliance without sacrificing legitimate content.
3Adaptability or versatility
If signal processing algorithms are used to separate and remove specific audio content, then selective removal is achieved, but the processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary audio fingerprinting and content identification on the mixed recording before the actual removal process. By pre-identifying copyrighted segments and their temporal boundaries, the system reduces the computational burden during the filtering stage and minimizes overall processing time.
Solution Approach 2:
The patent applies signal processing algorithms only to the identified copyrighted segments rather than processing the entire audio recording. This partial action approach significantly reduces computational complexity and processing time while achieving the same selective removal effect.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively removes copyrighted audio content from mixed audio recordings, ensuring that non-copyrighted portions like speech remain intact, thereby addressing the challenge of copyright compliance in media content hosting and streaming services.
Implementation Method 1
implementing one or more signal processing algorithms to subtract the sound recording from the mixed audio recording
Implementation Method 2
utilize a filter component with identification and processing features to selectively remove sound recordings from mixed audio recordings using signal processing algorithms like adaptive filtering
Data Source
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AI summary
Systems and techniques for removing a sound recording from an audio recording (e.g., an audio recording embedded in a media file) are presented. The system can include an identification component, a first subtraction component and a second subtraction component. The identification component identifies a sound recording in a mixed audio recording. The first subtraction component determines a local linear transformation of the sound recording and subtracts the local linear transformation of the sound recording from the mixed audio recording to generate a new mixed audio recording. The second subtraction component compares one or more segments of the sound recording with one or more corresponding segments of the new mixed audio recording and reduces a power level of the new mixed audio recording based at least in part on correlation of the one or more corresponding segments with the one or more segments.