Speech Subband Encoding With Auditory-Weighted Quantization
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Solution Overview
Problem
Current speech encoding methods are inefficient in terms of encoding efficiency, leading to suboptimal utilization of bandwidth and increased transmission costs.
Innovation Solution
A speech encoding method that involves subband decomposition, auditory perception analysis, and differential quantization of subband excitation signals based on perceived auditory strength, where signals with weak auditory perception are represented by gains relative to a reference signal, and those with strong perception are quantized with varying precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional speech encoding methods are used, then speech quality can be maintained, but encoding efficiency is poor and bandwidth utilization is suboptimal
Solution Approach 1:
The speech signal is divided into multiple subbands through subband decomposition, allowing different encoding strategies to be applied to different frequency regions. This segmentation enables more efficient encoding by treating each subband independently based on its auditory perception characteristics.
Solution Approach 2:
Different quantization precision levels are applied to different subbands based on their auditory perception representational values. Subbands with strong auditory perception use higher precision quantization, while those with weak perception use lower precision, optimizing the balance between quality and efficiency.
2Adaptability or versatility
If uniform quantization precision is applied to all subband excitation signals, then encoding simplicity is maintained, but bandwidth utilization is inefficient
Solution Approach 1:
The encoding system adapts its complexity locally by applying different quantization precision levels to different subbands. This allows the system to optimize bandwidth utilization by using finer quantization where needed and coarser quantization where acceptable, rather than applying a uniform approach throughout.
Solution Approach 2:
The quantization precision is dynamically adjusted based on the auditory perception representational value of each subband. This dynamic adaptation allows the encoding system to flexibly allocate bandwidth resources according to the actual perceptual importance of different frequency regions.
3Loss of information
If high quantization precision is used for all subband excitation signals, then speech quality is preserved, but encoding bit rate increases
Solution Approach 1:
High quantization precision is applied only to subbands with strong auditory perception representational values, while lower precision is used for subbands with weak perception. This localized quality approach preserves speech quality in critical frequency regions while reducing the overall encoding bit rate.
Solution Approach 2:
The quantization precision parameter is changed adaptively based on the auditory perception characteristics of each subband. By adjusting this parameter locally rather than uniformly, the system achieves better quality-to-bitrate efficiency trade-off.
Data Source
AI summary
This application relates to a speech encoding method performed by a computer device the method, including: performing subband decomposition on a target speech signal to obtain a plurality of subband excitation signals; obtaining an auditory perception representational value that corresponds to each subband excitation signal; determining at least one first subband excitation signal and at least one second subband excitation signal from the at least two subband excitation signals; obtaining a gain of each of the at least one first subband excitation signal relative to a preset reference excitation signal as an encoding parameter that corresponds to the first subband excitation signal; obtaining a corresponding encoding parameter that is obtained by quantizing each of the at least one second subband excitation signal; and performing encoding on each subband excitation signal based on the encoding parameter corresponding to the subband excitation signal.