Adaptive Signal Processing Apparatus Switching Coding Schemes
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Solution Overview
Problem
Existing audio and speech encoders are inefficient in processing signals, with audio encoders struggling at high bit rates and speech encoders at low bit rates, failing to adaptively select optimal decoding schemes based on signal characteristics.
Innovation Solution
A signal processing apparatus and method that uses adaptive coding schemes, switching between speech and audio coding based on signal characteristics, allocating bit rates dynamically and changing modes per frame to optimize decoding efficiency and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an audio encoder is used to process a speech signal, then the sound quality can be high, but the bit rate becomes excessively high and inefficient
Solution Approach 1:
The system dynamically switches between audio coding scheme and speech coding scheme based on the characteristics of the input signal. The coding scheme is not fixed but adapts to the signal type, using audio coding for audio signals and speech coding for speech signals, thereby optimizing both quality and bit rate efficiency
Solution Approach 2:
The system changes the coding parameter (coding scheme type) based on signal characteristics. By detecting whether the input signal is a speech signal or an audio signal, the system selects the appropriate coding scheme, thereby achieving efficient compression while maintaining quality
2Quantity of substance
If a speech encoder is used to process an audio signal, then the bit rate can be low, but the sound quality becomes insufficient
Solution Approach 1:
The system dynamically selects the coding scheme based on signal characteristics. When an audio signal is detected, the system switches to the audio coding scheme which provides sufficient quality even at lower bit rates, whereas speech coding would be insufficient for audio signals
Solution Approach 2:
The system changes the coding parameter (coding scheme type) to match the signal type. For audio signals, the audio coding scheme is selected which is optimized for maintaining quality at lower bit rates, thereby resolving the contradiction between low bit rate and sufficient quality
3Device complexity
If a fixed coding scheme is used, then the device complexity is low, but the adaptability to different signal characteristics is poor
Solution Approach 1:
The system is designed to handle multiple types of signals (speech signals and audio signals) using a single apparatus. By incorporating both audio coding scheme and speech coding scheme, the system achieves multi-functionality, being able to adapt to different signal characteristics without requiring separate dedicated encoders for each signal type
Solution Approach 2:
The system dynamically adapts its coding scheme based on the detected signal characteristics. The coding scheme structure remains relatively simple, but the system's behavior is dynamic as it switches between audio coding and speech coding based on whether the input is a speech signal or an audio signal, thereby achieving high adaptability without excessive complexity
Data Source
AI summary
Disclosed is a method of processing a signal, which includes receiving at least one of a first signal and a second signal, receiving mode information, and coding the at least one of the first signal and the second signal using at least one of a first coding scheme and a second coding scheme according to the mode information, wherein the mode information is information for indicating that a prescribed mode corresponds to which one of at least three modes.