Virtual Ensemble Assembly via Distributed Recording Synchronization
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Solution Overview
Problem
Videoconferencing applications are suboptimal for creating virtual ensembles due to signal latency, audio balancing issues, and network instability, making it difficult to achieve precise timing and synchronization in musical or performance-related recordings, and post-performance editing is labor-intensive and requires specialized skills.
Innovation Solution
A distributed recording system with a central assembler node that synchronizes and balances multiple performance recordings in real-time or during assembly, using a distributed recorder with multiple nodes and a central assembler node to generate a virtual ensemble file, which includes mixed audio or video data, and allows for rapid adjustments and standardization of performance lengths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If videoconferencing applications are used to create virtual ensembles, then multi-party performance recording is enabled, but signal latency and network instability cause poor timing precision and synchronization
Solution Approach 1:
The system distributes a standardized performance template beforehand that includes precise timing markers and synchronization cues. Performers use this template to align their recordings before submission, ensuring precise timing without requiring real-time coordination. The template pre-defines start times, duration, and structural markers that guide the asynchronous recording process.
Solution Approach 2:
A centralized server acts as an intermediary that receives all individual performance recordings, automatically synchronizes them using the predefined timing markers, and assembles them into a cohesive virtual ensemble performance. The server mediates between distributed recordings by applying time-alignment algorithms and correcting temporal discrepancies automatically.
2Adaptability or versatility
If videoconferencing applications are used for virtual ensembles, then remote performance capture is possible, but audio balancing and background noise issues degrade audio quality
Solution Approach 1:
The system includes automatic audio processing features that perform noise filtering, echo cancellation, and volume normalization on each performer's recording independently before assembly. The standardized template includes technical specifications for audio levels and formats that guide performers to optimize their local recordings, with automated correction applied during assembly.
Solution Approach 2:
Manual audio balancing and mixing operations are replaced with automated digital signal processing algorithms. The system automatically adjusts audio levels, applies equalization, and balances the mix based on the standardized template specifications, eliminating the need for manual intervention and specialized mixing skills.
3Measurement precision
If post-performance video editing is used to fix timing and audio issues, then synchronization can be achieved, but the process becomes labor intensive and requires specialized skills
Solution Approach 1:
All timing markers, synchronization cues, and structural guidelines are embedded in the standardized performance template before recording begins. This preliminary preparation ensures that recordings are captured with proper temporal alignment from the start, eliminating the need for time-consuming post-recording synchronization work.
Solution Approach 2:
Manual video editing and synchronization operations are replaced with automated assembly software that uses the predefined timing markers to automatically align and combine recordings. The system programmatically assembles the virtual ensemble performance based on template specifications, replacing skilled manual editing with automated computational processes.
4Adaptability or versatility
If individual performance recordings are assembled into a virtual ensemble, then distributed performance is enabled, but computational complexity increases with the number of recording nodes
Solution Approach 1:
The assembly process is divided into standardized, modular operations that process each recording independently according to the template specifications. The system segments the complex assembly task into discrete steps: timing alignment, audio mixing, video composition, and synchronization, each handled by dedicated software modules that scale efficiently with the number of performers.
Solution Approach 2:
The system transforms the complex multi-variable problem of assembling numerous recordings into a standardized parameter-based process. The template defines fixed parameters for timing, duration, audio levels, and video layout that remain constant regardless of the number of performers, allowing the assembly complexity to scale linearly rather than exponentially with the number of recording nodes.
Data Source
AI summary
A method creates a virtual ensemble file by receiving, at a central assembler node, recorded performance files from a recording node(s). The recording nodes generate a respective one of the performance files concurrently with playing a backing track and/or nodal metronome signal. Each performance file includes audio and/or visual data. The assembler node generates the ensemble file as a digital output file. Another method creates the ensemble file by receiving input signals inclusive of the backing track and/or metronome signal at the recording node(s), and generating the performance files at the recording node(s) concurrently with playing the backing track and/or metronome signal. The performance files are transmitted to the assembler node. A computer-readable medium or media has instructions for creating the ensemble file, with execution causing a first node to generate the performance files, and a second node to receive the same and generate the ensemble file.