Joint Codebook Vector Quantization for Multi-Rate Audio Coding
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Solution Overview
Problem
Existing speech and audio coding algorithms face challenges in efficiently managing multiple levels of quantization due to the need for multiple codebooks, leading to increased memory requirements and complexity in both the encoder and decoder, especially when dealing with varying transmission and storage capabilities.
Innovation Solution
A method for N-level quantization using a single joint codebook that contains all required N-level codebooks, allowing for flexible selection of quantization levels and reducing storage needs by using the first N reproduction vectors of the joint codebook for each level, enabling efficient transmission and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate codebooks are used for different quantization levels, then the quantization can be optimized for each specific level, but the memory requirements and device complexity increase significantly
Solution Approach 1:
The patent combines multiple separate codebooks for different quantization levels into a single joint codebook. The joint codebook contains all reproduction vectors for all quantization levels, eliminating the need to store and manage multiple separate codebooks. This merging reduces memory requirements and simplifies the device structure while maintaining the ability to provide level-optimized quantization.
Solution Approach 2:
The joint codebook serves multiple functions simultaneously - it provides reproduction vectors for all quantization levels (N=2, 4, 8, 16, etc.) from a single data structure. The same joint codebook can be used for different quantization scenarios and different numbers of levels, making the system more versatile and reducing overall complexity.
2Measurement precision
If multiple separate codebooks are used for different quantization levels, then each codebook can be tailored to its specific level, but the memory requirements increase
Solution Approach 1:
The patent merges multiple codebooks into a single joint codebook that stores all reproduction vectors for all quantization levels. Instead of storing separate codebooks for N=2, N=4, N=8, etc., the system stores one unified codebook that contains all necessary vectors, significantly reducing memory requirements while maintaining optimization for each quantization level.
3Measurement precision
If the number of quantization levels N increases, then the resolution and distortion reduction improve, but the output bit rate increases
Solution Approach 1:
The patent enables dynamic selection of the number of quantization levels N from the joint codebook based on available transmission or storage capacity. By changing the parameter N, the system can adapt between high resolution (high N) and low bit rate (low N) operation, allowing flexible trade-offs between quality and resource consumption.
Data Source
AI summary
This invention relates to a method, a device and a software application product for N-level quantization of vectors, wherein N is selectable prior to said quantization from a set of at least two pre-defined values that are smaller than or equal to a pre-defined maximum number of levels M. A reproduction vector for each vector is selected from an N-level codebook of N reproduction vectors that are, for each N in said set of at least two pre-defined values, represented by the first N reproduction vectors of the same joint codebook of M reproduction vectors. The invention further relates to a method, a device and a software application product for retrieving reproduction vectors for vectors that have been N-level quantized, to a system for transferring representations of vectors, to a method, a device and a software application product for determining a joint codebook, and to such a joint codebook itself.