High-Frequency Audio Reconstruction via Statistical Pattern Analysis
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Solution Overview
Problem
Existing low bit-rate audio coding schemes struggle to efficiently encode and reconstruct high-frequency audio components, leading to reduced quality and inefficiency, especially in low bandwidth conditions, as they often require complex processing and additional information.
Innovation Solution
A predictive pattern high-frequency reconstruction system that uses statistical analysis to identify patterns in the high-frequency components, allowing for their reconstruction at the decoder without transmitting the actual high-frequency components, thereby reducing computational complexity and improving compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If spectral band replication (SBR) tool is used to encode high-frequency components, then audio quality is improved, but computational complexity and processing power requirements increase significantly
Solution Approach 1:
The patent extracts only the essential statistical parameters (mean, variance, skewness, kurtosis) from the high-frequency signal instead of transmitting or processing the full signal. This extraction approach maintains audio quality while dramatically reducing computational complexity by working with simplified statistical representations rather than complete spectral data.
Solution Approach 2:
The patent transforms the high-frequency signal representation from time-domain or frequency-domain waveforms into statistical parameters (mean, variance, skewness, kurtosis). This parameter transformation enables efficient encoding and reconstruction with reduced computational requirements while preserving perceptual audio quality.
2Manufacturing precision
If full-band audio signal is encoded using quantizing and coding method, then audio quality is maintained, but bit rate increases and bandwidth requirements increase
Solution Approach 1:
The patent extracts only the statistical characteristics (mean, variance, skewness, kurtosis) of the high-frequency signal for transmission, rather than encoding the complete high-frequency signal. This extraction enables low-bitrate transmission while maintaining perceptual quality through efficient statistical representation.
Solution Approach 2:
Instead of transmitting the high-frequency signal directly and having the decoder reproduce it, the patent inverts the approach by transmitting statistical parameters that describe the signal's characteristics and enabling the decoder to reconstruct the signal from these parameters. This inversion achieves compression while preserving perceptual quality.
3Quantity of substance
If high-frequency components are completely removed to satisfy bit constraints, then bit rate is reduced, but audio quality deteriorates
Solution Approach 1:
The patent creates a statistical copy of the high-frequency signal's essential characteristics (mean, variance, skewness, kurtosis) and transmits this compressed representation instead of the full signal. This copying approach enables bit rate reduction while preserving the perceptual qualities of the original high-frequency content.
4Manufacturing precision
If envelope/noise floor/time-frequency grid information is transmitted to replicate high-frequency signal, then audio quality is improved, but additional bits and processing power are required
Solution Approach 1:
The patent extracts only four key statistical parameters (mean, variance, skewness, kurtosis) from the high-frequency signal, eliminating the need to transmit additional information such as envelope, noise floor, or time-frequency grid data. This minimal extraction reduces bit rate requirements while maintaining reconstruction quality.
Data Source
AI summary
A predictive pattern high-frequency reconstruction system and method that finds patterns in high-frequency components of an audio signal, encodes the audio signal into an encoded bitstream along with pattern information, and then uses the patterns to reconstruct the high-frequency components during decoding. The high-frequency components can be reconstructed using the pattern information alone. Embodiments of the system and method map normalized subband signals of the audio signal to a scaled representation of a time-frequency grid containing multiple tiles and perform statistical analysis on each tile to estimate subband parameters and determine whether a pattern exists. If a pattern does exist, it can be encoded in the encoded bitstream, transmitted, and used to reconstruct the high-frequency components at the decoder. A direct search technique and a fast Fourier transform (FFT) technique may be used to perform the statistical analysis.