Device-Independent Audio Generalization for Source Separation
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Solution Overview
Problem
Electronic devices face challenges in separating audio sources from microphone data due to microphone-specific features, which are difficult to process without large source separation models, especially in devices with limited processing resources.
Innovation Solution
The technology generalizes microphone data to generate a device-independent representation of audio input, independent of the microphone locations, using a device-specific audio generalizer and a device-independent source separation model, enabling high-quality source separation across various devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If device-specific source separation models are used to handle microphone data, then source separation performance is improved, but device complexity and processing resource requirements increase
Solution Approach 1:
The patent introduces a device-independent audio representation as an intermediary layer between the device-specific microphone data and the source separation model. This intermediary representation standardizes the audio data format, allowing a single universal source separation model to process audio from different devices without requiring device-specific models, thus reducing device complexity while maintaining separation performance
Solution Approach 2:
The patent creates a universal source separation model that can process audio from multiple different devices through the device-independent representation. This single model serves multiple devices with different microphone configurations, eliminating the need for separate device-specific models and reducing overall system complexity
2Measurement precision
If large source separation models are deployed to handle device-specific audio features, then source separation accuracy is improved, but adaptability to resource-limited devices deteriorates
Solution Approach 1:
The device-independent audio representation acts as a mediator that translates device-specific microphone data into a standardized format. This intermediary representation can be processed by a single optimized source separation model that is lightweight enough for resource-limited devices while maintaining high separation accuracy through the lossless or near-lossless transformation
Solution Approach 2:
The patent transforms the audio data parameters from device-specific characteristics (microphone positions, characteristics) into device-independent parameters through the audio representation transformation. This parameter change allows the same source separation model to work across different devices without requiring device-specific model parameters, improving adaptability to resource-limited devices
Data Source
AI summary
Aspects of the subject technology relate to providing device-independent audio for electronic devices. In one or more implementations, microphone data captured by multiple microphones at an electronic device may be provided to a device-specific audio generalizer at the electronic device. The device-specific audio generalizer may utilize device specific information to generalize the microphone data to form device-independent audio data. The device-independent audio data may then be provided to a device-independent machine learning model at the electronic device or another electronic device for further processing.