Compact Stem Separation Modules for Resource-Constrained Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional stem separation algorithms require significant computational resources and are typically implemented in high-resource environments, making them unsuitable for resource-constrained devices.
Innovation Solution
Development of compact, lightweight stem separation modules that can be implemented on user electronic devices, utilizing condensed neural processing units and reduced feature sizes to perform stem separation in real-time or near-real-time, even in resource-constrained environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional stem separation algorithms are used, then stem separation performance is achieved, but computational resources and power consumption are excessive
Solution Approach 1:
The patent creates a compressed copy of the stem separation model that can run on mobile devices. The full model is distilled into a lighter version that captures essential separation capabilities while using significantly fewer computational resources, enabling the function to be replicated on resource-constrained platforms.
Solution Approach 2:
The patent transforms the model parameters from a full-precision, high-computational representation to a compressed, lower-precision parameter set. This parameter compression maintains the core stem separation functionality while dramatically reducing the computational burden on mobile devices.
2Reliability
If conventional stem separation algorithms are implemented, then effective audio stem isolation is achieved, but device complexity and resource requirements increase
Solution Approach 1:
The patent creates a simplified copy of the stem separation system optimized for mobile devices. This copy maintains the essential audio stem isolation functionality while removing complex computational dependencies, making it suitable for implementation on smartphones and tablets without requiring powerful servers.
Solution Approach 2:
The patent extracts only the essential core functionality from the full stem separation system. By taking out and retaining only the critical separation algorithms and removing unnecessary computational overhead, the system achieves effective audio stem isolation with reduced device complexity.
3Productivity
If stem separation is performed in real-time on mobile devices, then user experience is improved, but processing speed and computational efficiency are constrained
Solution Approach 1:
The patent optimizes model parameters for fast inference on mobile CPUs and GPUs. By adjusting precision levels, activation functions, and computational graph structures, the system achieves real-time audio processing speeds that are acceptable for user experience while staying within the power constraints of mobile devices.
Solution Approach 2:
The patent implements continuous audio stream processing where stem separation operates in real-time as audio flows through the system. This continuous processing approach, combined with optimized batch sizes and memory management, maintains high processing throughput without requiring excessive computational power spikes.
Data Source
AI summary
A device is configurable to cause playback of an input audio signal and, after detecting user input directed to activating a stem separation mode: (i) cause cessation of playback of the input audio signal; and (ii) until a stop condition is satisfied, iteratively: (a) identify a set of one or more segments of the input audio signal; (b) process the set of one or more segments using a stem separation module to generate a set of stem-separated segments, the set of stem-separated segments comprising a plurality of audio stems corresponding to different audio sources represented in the set of one or more segments; and (c) cause playback of at least one audio stem from the plurality of audio stems.