Scalable Channel Decoding for Multi-Speaker Audio Systems
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Solution Overview
Problem
Conventional multi-channel audio coding technologies face challenges in decoding and up-mixing due to the fixed number of channels required by decoders, which can lead to degraded sound quality when the speaker configuration differs from the encoder's configuration.
Innovation Solution
Implementing a method for scalable channel decoding that recognizes the speaker configuration in the decoder and adjusts the number of decoding levels for each multi-channel signal, allowing selective decoding and up-mixing based on the available channels, thereby adapting to different speaker configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the decoder uses a fixed staged structure to decode all encoded channels, then the decoding process is simplified and standardized, but the sound quality degrades when the speaker configuration differs from the encoder's configuration
Solution Approach 1:
The patent implements dynamic channel decoding by allowing the decoder to selectively activate or deactivate specific decoding stages based on the detected speaker configuration. The staged structure remains fixed for standardization, but the active subset of stages dynamically adapts to match the physical speaker arrangement, resolving the contradiction between structural simplicity and configuration flexibility
Solution Approach 2:
The system changes the operational parameters of the decoding process by adjusting which decoding stages are active based on speaker configuration detection. Instead of modifying the staged structure itself, the system varies the activation state of individual stages to match different speaker arrangements, maintaining standardization while achieving adaptability
2Reliability
If the decoder decodes all available channels in the staged structure, then complete multi-channel signal reconstruction is achieved, but unnecessary decoding processes increase computational complexity and processing time
Solution Approach 1:
The patent extracts and activates only the necessary decoding stages required for the detected speaker configuration, removing unnecessary decoding operations from the active processing path. This selective extraction maintains complete signal reconstruction for the intended channels while eliminating redundant computational steps
Solution Approach 2:
The system performs partial decoding by activating only the subset of decoding stages needed for the specific speaker configuration rather than executing the full staged structure. This partial action achieves sufficient signal reconstruction for the intended output channels without the excessive computational burden of processing all possible channels
3Reliability
If the decoder performs up-mixing for all decoded channels, then full multi-channel output is achieved, but processing time and computational resources increase unnecessarily when fewer speakers are available
Solution Approach 1:
The patent extracts and performs up-mixing operations only for the channels that correspond to available speakers. By identifying the speaker configuration and selectively applying up-mixing to the necessary channel subset, the system achieves full multi-channel output quality for the intended configuration while eliminating unnecessary processing time for channels that will not be used
Data Source
AI summary
A method, medium, and apparatus with scalable channel decoding. The method includes recognizing the configuration of channels or speakers, calculating the respective number of same path decoding levels for each multi-channel signal using the recognized configuration of the channels or speakers, and performing decoding and up-mixing according to the calculated respective number of decoding levels.