Noise Suppression in Deteriorated Audio Signals
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Solution Overview
Problem
Existing noise suppression technologies are ineffective in accurately removing both noise with unknown characteristics and noise with known characteristics from deteriorated signals, especially when noise is not sufficiently small compared to the desired signal, leading to low noise suppression effectiveness and distortion in enhanced signals.
Innovation Solution
A signal processing technology that combines known-noise information stored in advance with estimated unknown-noise information to suppress both types of noise, using a noise suppression unit with separate sections for known-noise and unknown-noise processing, and employing gain calculations and mixing techniques to optimize noise reduction while minimizing distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If noise suppression is performed using only estimated noise from deteriorated signal, then the method is simple to implement, but noise suppression effectiveness is low and distortion is large when noise is not sufficiently small compared to desired signal
Solution Approach 1:
The noise suppression method is segmented into two independent parts: known-noise suppression using pre-stored noise information and unknown-noise suppression using estimated noise from the deteriorated signal. This segmentation allows each part to handle specific noise types effectively, resolving the contradiction by maintaining implementation simplicity while improving overall noise suppression effectiveness through combined action.
2Ease of operation
If verbal communication is performed while manipulating mobile phone, then user operation is convenient, but mechanical noise and background noise cannot be suppressed effectively
Solution Approach 1:
The noise suppression device is designed with multi-functionality to handle multiple noise types simultaneously. It includes both known-noise suppression (for mechanical noise from phone operations) and unknown-noise suppression (for background noise during communication), allowing effective noise suppression during convenient user operations without requiring separate processing for different noise sources.
3Manufacturing precision
If noise information is subtracted from deteriorated signal, then noise suppression is achieved, but distortion is introduced in enhanced signal
Solution Approach 1:
The method dynamically adjusts noise suppression parameters based on signal characteristics. By calculating suppression factors that adapt to the relationship between noise and desired signal components, and by selectively applying different suppression strategies for known and unknown noise, the system achieves effective noise suppression while minimizing distortion through parameter optimization.
Data Source
AI summary
To suppress both noise having an unknown characteristic and noise having a known characteristic, provided is an information processing device comprising a noise suppression means for suppressing noise included in an inputted deteriorated signal, which is characterized by that said noise suppression means includes a first output means for outputting known-noise information, in order to suppress known noise having known characteristics, and a second output means for outputting unknown-noise information by estimating unknown noise having unknown characteristics, in order to suppress the unknown noise.