Compact Audio Stem Separation Modules for Real-Time Playback

The patent segments the audio signal into temporal segments and processes them through a series of processing stages (first processing stage, second processing stage, third processing stage) that divide the complex stem separation task into manageable parts. Each stage handles specific aspects of the separation process, allowing the system to achieve high separation performance while reducing overall computational burden through staged processing.

The patent employs dynamic processing where the system adapts to different audio characteristics and processing conditions. The neural network model dynamically adjusts to varying audio inputs, and the processing stages can be configured with different parameters based on the specific audio content, enabling high performance across diverse scenarios without requiring excessive computational resources for every possible case.

The patent applies partial processing by implementing a three-stage processing pipeline where not all stages process every audio segment with full intensity. The system can adjust the processing depth based on requirements, applying full processing only when necessary and using lighter processing for less critical cases, thereby maintaining real-time capability while reducing average power consumption.

The patent utilizes parameter changes by adjusting processing parameters dynamically based on audio characteristics and device conditions. The neural network model parameters can be optimized for different scenarios, and processing parameters such as segmentation duration, processing frequency, and computational intensity can be modified to balance real-time performance requirements with power consumption constraints.

The patent segments the processing into three distinct stages that can be executed sequentially or in parallel depending on device capability. This segmentation allows the system to use a lightweight module structure while maintaining processing speed through efficient stage transitions and potential parallel execution of independent stages, achieving a balance between model size and processing performance.

The patent implements preliminary processing actions in the first processing stage that prepare and pre-process the audio signal before it enters subsequent stages. This preliminary action reduces the computational burden on later stages and can be performed efficiently with lightweight operations, maintaining overall processing speed while using a more compact module architecture.