Unified Transform for Audio Processing Latency Reduction
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Solution Overview
Problem
Existing audio or video processing systems face high latency and computational complexity when performing sequential signal processing tasks, such as acoustic echo cancellation followed by compression, due to the need for inverse and forward transform operations between different domains.
Innovation Solution
The system selectively uses a second transform to convert audio or video data directly into the frequency domain for compression, bypassing the need for an inverse transform back to the time domain and subsequent forward transform, thereby reducing latency and computational effort by integrating signal processing and transform operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sequential signal processing tasks (e.g., acoustic echo cancellation followed by compression) are performed using separate transforms, then each processing task can be optimized for its specific function, but latency and computational complexity increase due to multiple inverse and forward transform operations
Solution Approach 1:
The patent merges multiple separate transform operations into a single unified transform that performs both acoustic echo cancellation and compression functions. Instead of applying an inverse transform after echo cancellation and then a forward transform for compression, the system uses one transform operation that accomplishes both tasks simultaneously, thereby reducing latency and computational complexity while maintaining processing effectiveness
Solution Approach 2:
The unified transform is designed to perform multiple functions: it conducts acoustic echo cancellation and simultaneously prepares the signal for compression. This multi-functional approach eliminates the need for separate dedicated transforms for each processing stage, reducing the total number of transform operations and improving overall system efficiency
2Reliability
If sequential signal processing tasks are performed using separate transforms, then each processing task can be optimized for its specific function, but computational complexity increases due to multiple transform operations
Solution Approach 1:
The patent combines multiple computationally intensive transform operations into a single unified transform operation. By merging the inverse transform required for acoustic echo cancellation with the forward transform needed for compression into one operation, the system significantly reduces computational complexity while preserving the effectiveness of each processing stage
Solution Approach 2:
The unified transform serves multiple processing objectives simultaneously, acting as both an echo cancellation mechanism and a compression preparation step. This multi-functionality reduces the total computational burden by eliminating redundant transform operations that would otherwise be required for each separate processing task
3Loss of time
If a unified transform is used for multiple processing tasks, then latency and computational complexity are reduced, but the transform must be adaptable to different signal processing requirements
Solution Approach 1:
The unified transform is designed with dynamic adaptability, allowing it to adjust its parameters and characteristics based on the specific signal processing requirements. This enables the single transform to effectively perform different functions (echo cancellation, compression preparation) by modifying its operation in real-time, maintaining versatility while avoiding multiple fixed transforms
Data Source
AI summary
A method of processing data comprises processing first frequency-domain audio or video data using signal processing of a first type, and transforming the processed first frequency-domain audio or video data to processed time-domain audio or video data using a transform which is the inverse of the first transform, and transforming the processed time-domain audio or video data using a second transform which is matched to a second type of signal processing. The method further comprises identifying time-domain audio or video data for which signal processing of the first type, after transformation using the second transform, would yield satisfactory results. The method further comprises transforming the identified time-domain audio or video data to frequency-domain identified audio or video data using the second transform, instead of using the first transform, and processing the identified frequency-domain audio or video data using signal processing of the first type.