Audio Encoding Tone Component Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current audio signal encoding and decoding technologies face challenges in improving the quality of decoded audio signals, particularly in accurately representing tone components in high frequency bands during transmission over limited bandwidth.
Innovation Solution
The proposed method involves encoding and decoding techniques that specifically identify and encode the location, quantity, and amplitude or energy of tone components within high frequency bands, using bitstream multiplexing and demultiplexing to accurately reconstruct the tone components, thereby enhancing the quality of the decoded audio signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional audio encoding methods are used to compress audio signals for limited bandwidth transmission, then bandwidth efficiency is improved, but the quality of decoded audio signal deteriorates due to loss of tone component information
Solution Approach 1:
The patent extracts tone component information from the audio signal by performing peak detection in the frequency domain. The encoder identifies tone components by detecting peaks in the spectral envelope, extracts their parameters (frequency, amplitude, duration), and transmits this extracted information separately from the general audio signal, thereby preserving critical tone information while maintaining compression efficiency.
Solution Approach 2:
The patent segments the audio signal processing into different components: general audio signal encoding and tone component encoding. The tone components are identified as distinct elements with specific parameters (frequency, amplitude, duration) that are encoded separately from the remaining audio signal, allowing for more precise representation of perceptually important features.
2Reliability
If detailed tone component information is encoded to improve audio quality, then decoded audio signal quality is improved, but the amount of data to be transmitted increases, reducing bandwidth efficiency
Solution Approach 1:
The patent changes the encoding parameters by representing tone components using a compact set of essential parameters (frequency, amplitude, duration) rather than transmitting the full spectral information. This parameter-based representation significantly reduces the data volume required to describe tone components while maintaining their perceptual quality.
Solution Approach 2:
The patent applies partial encoding by selectively encoding only the most perceptually important tone components rather than all frequency components. The encoder identifies and encodes only those tone components that exceed certain thresholds in terms of amplitude and perceptual significance, avoiding the transmission of redundant information.
3Measurement precision
If the entire frequency spectrum is analyzed to accurately detect tone components, then tone detection precision is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands and performs peak detection independently in each band. This segmentation allows the system to focus computational resources on identifying tone components in specific frequency regions where they are most likely to occur, reducing the overall computational complexity compared to analyzing the entire spectrum simultaneously.
Solution Approach 2:
The patent applies different detection thresholds and analysis methods to different frequency regions based on local characteristics. The system adjusts the sensitivity and parameters of tone detection according to the specific frequency band being analyzed, optimizing the balance between detection precision and computational effort for each local region.
Data Source
AI summary
An audio decoding method includes obtaining an encoded bitstream; performing bitstream demultiplexing on the encoded bitstream, to obtain a high frequency band parameter of a current frame of an audio signal, wherein the high frequency band parameter indicates a location, a quantity, and an amplitude or energy of a tone component comprised in a high frequency band signal of the current frame; obtaining a reconstructed high frequency band signal of the current frame based on the high frequency band parameter; and obtaining an audio output signal of the current frame based on the reconstructed high frequency band signal of the current frame.