Adaptive Low Frequency Compensation for Audio Encoding
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Solution Overview
Problem
Conventional audio encoding methods apply low frequency compensation uniformly to all signals, leading to suboptimal quality for both tonal and non-tonal signals, as they fail to distinguish between prominent low-frequency tonal content and non-tonal content, resulting in either degraded or improved perceived quality during decoding.
Innovation Solution
An adaptive low frequency compensation method that selectively applies low frequency compensation during encoding based on tonality detection, enabling it for signals with prominent low-frequency tonal components while disabling it for non-tonal signals, using tonality detection to generate compensation control data and adjust masking values accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If low frequency compensation is applied uniformly to all signals, then encoding quality for tonal signals is improved, but encoding quality for non-tonal signals deteriorates
Solution Approach 1:
The patent implements dynamic low frequency compensation by adjusting the compensation amount based on detected tonality characteristics of the input signal. The system transitions from a static, uniform compensation approach to a dynamic one where the compensation parameter varies according to the signal's tonal content, thereby optimizing encoding quality for both tonal and non-tonal signals.
Solution Approach 2:
The patent applies different encoding treatments to different frequency regions based on tonality detection. Specifically, low frequency compensation is applied selectively to bands with prominent tonal content while being reduced or disabled for non-tonal bands, creating a localized quality optimization strategy that adapts to the specific characteristics of each frequency region.
2Loss of information
If low frequency compensation is enabled for all frequency bands, then bit allocation is optimized for tonal content, but bit allocation becomes suboptimal for non-tonal content
Solution Approach 1:
The patent changes the compensation parameter (low frequency compensation amount) based on the detected tonality of the signal. When tonal content is detected in low frequency bands, full compensation is applied; when non-tonal content is detected, the compensation parameter is reduced or disabled. This parameter adaptation optimizes bit allocation efficiency for the specific signal type being encoded.
Solution Approach 2:
The patent segments the frequency spectrum into tonal and non-tonal regions based on tonality detection results. Different bit allocation strategies are then applied to these segments: low frequency compensation is applied to tonal segments to preserve information, while non-tonal segments use standard bit allocation for optimal encoding efficiency.
3Manufacturing precision
If uniform low frequency compensation is applied, then perceived quality of tonal signals is enhanced, but perceived quality of non-tonal signals is degraded
Solution Approach 1:
The patent dynamically adjusts the low frequency compensation level based on real-time tonality detection of the encoded signal. This dynamic adjustment ensures that perceived quality is enhanced for tonal signals through full compensation while preventing quality degradation for non-tonal signals by reducing or disabling compensation, thereby eliminating the harmful effect of uniform compensation across all signal types.
Solution Approach 2:
The patent converts the potentially harmful effect of uniform low frequency compensation (which degrades non-tonal signals) into a beneficial adaptive system. By detecting tonality characteristics, the system selectively applies compensation only where beneficial (tonal signals) and avoids it where harmful (non-tonal signals), thereby transforming a one-size-fits-all harmful approach into a targeted beneficial approach.
Data Source
AI summary
A method for determining mantissa bit allocation of audio data values of frequency domain audio data to be encoded. The allocation method includes a step of determining masking values for the audio data values, including by performing adaptive low frequency compensation on the audio data of each frequency band of a set of low frequency bands of the audio data. The adaptive low frequency compensation includes steps of: performing tonality detection on the audio data to generate compensation control data indicative of whether each frequency band in the set of low frequency bands has prominent tonal content; and performing low frequency compensation on the audio data in each frequency band in the set of low frequency bands having prominent tonal content as indicated by the compensation control data, but not performing low frequency compensation on the audio data in any other frequency band in the set of low frequency bands.


