Time Interval Sound Alignment for Foreign Overdub Consistency
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Solution Overview
Problem
Conventional sound alignment techniques fail to effectively align sound data with disparate spectral characteristics, leading to inconsistent and unrealistic results, particularly when dealing with foreign overdubs, which can result in inefficient use of computing resources and require multiple re-recordings.
Innovation Solution
The implementation of time interval sound alignment techniques, where a user interface allows users to specify corresponding time intervals in sound data representations, calculating a stretch value to align sound data by stretching or compressing the corresponding intervals, thereby generating aligned sound data that preserves relative timing and reduces computational resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional sound alignment techniques are used to align sound data with disparate spectral characteristics, then alignment is attempted, but the results are inconsistent and unrealistic
Solution Approach 1:
The patent changes the alignment approach from spectral-based to time-interval-based. By representing sound data in the time domain and aligning based on time intervals rather than spectral characteristics, the system achieves consistent and reliable alignment results even for sound data with disparate spectral characteristics such as foreign overdubs
Solution Approach 2:
The patent replaces the conventional spectral analysis mechanism with a time-interval based mechanism. Instead of using spectral matching algorithms, the system uses time interval representations and stretch values to achieve alignment, fundamentally changing the alignment mechanism to overcome spectral disparity issues
2Productivity
If conventional sound alignment techniques are used, then alignment processing is performed, but multiple re-recordings and manual fixing are required
Solution Approach 1:
The system enables users to perform alignment themselves by providing tools to specify time intervals and apply stretch values. This self-service capability eliminates the need for manual fixing by sound engineers and reduces the need for multiple re-recordings, significantly improving productivity
Solution Approach 2:
The patent allows users to pre-specify time intervals that correspond between sound data segments before final alignment. This preliminary action enables better planning and reduces the need for iterative re-recordings and manual adjustments, saving time and improving efficiency
3Use of energy by moving object
If conventional sound alignment techniques are used, then alignment is attempted, but computational resources are inefficiently used
Solution Approach 1:
The patent extracts only the essential time interval information from sound data for alignment purposes, rather than processing the entire spectral content. By taking out only the necessary time-based features, the system reduces computational resource usage while maintaining alignment effectiveness
Data Source
AI summary
Time interval sound alignment techniques are described. In one or more implementations, one or more inputs are received via interaction with a user interface that indicate that a first time interval in a first representation of sound data generated from a first sound signal corresponds to a second time interval in a second representation of sound data generated from a second sound signal. A stretch value is calculated based on an amount of time represented in the first and second time intervals, respectively. Aligned sound data is generated from the sound data for the first and second time intervals based on the calculated stretch value.