Multiple Description Audio Encoding for Packet Loss Resistance
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Solution Overview
Problem
Existing audio encoders, such as Opus, suffer from poor packet loss resistance, leading to degraded audio quality when network packet loss occurs, as they rely solely on packet loss concealment techniques.
Innovation Solution
Implement Multiple Description Coding (MDC) by generating multiple bitstreams from a single frame of input signal, ensuring any received bitstream can decode correctly, reducing reliance on packet loss concealment and improving audio quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Multiple Description Coding is implemented to improve packet loss resistance, then reliability is improved, but device complexity increases
Solution Approach 1:
The encoding process is segmented into multiple independent description streams (first description stream, second description stream, etc.), each capable of being decoded independently. This segmentation allows the system to improve reliability through redundancy while managing complexity by processing each stream separately using standard encoding tools.
Solution Approach 2:
The encoding apparatus is designed to generate multiple description streams that can serve universal decoding purposes. Each stream can be decoded independently using standard decoders, making the system multi-functional and adaptable to different network conditions without requiring specialized decoding equipment for each stream type.
2Reliability
If Multiple Description Coding generates multiple bitstreams, then packet loss resistance improves, but loss of information increases due to redundant encoding
Solution Approach 1:
The system generates multiple description streams with varying levels of redundancy. Under normal conditions, all streams are transmitted providing full protection. However, the system can adaptively reduce redundancy by transmitting fewer streams when network conditions improve, thus reducing information loss while maintaining packet loss resistance when needed.
Solution Approach 2:
The encoding process allows dynamic adjustment of parameters such as the number of description streams, quantization precision, and bit allocation across streams. By changing these parameters based on network conditions and source characteristics, the system optimizes the balance between reliability and information efficiency, reducing redundant encoding when full redundancy is not required.
Data Source
AI summary
An encoding method, a decoding method, an encoding apparatus, a decoding apparatus, an electronic device, and a storage medium. The encoding method includes: obtaining at least two multiple description signals according to a to-be-coded signal, the at least two multiple description signals including a first multiple description signal and a second multiple description signal; performing first quantization on the first multiple description signal to obtain a first candidate quantized signal set, and performing second quantization on the second multiple description signal to obtain a second candidate quantized signal set; obtaining a first quantized signal corresponding to the first multiple description signal and a second quantized signal corresponding to the second multiple description signal according to the first candidate quantized signal set and the second candidate quantized signal set; and encoding the first quantized signal and the second quantized signal to generate a target bitstream corresponding to the to-be-coded signal.