Audio Component Change Action for Noise Suppression
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Solution Overview
Problem
Conventional noise suppression methods often inadvertently render important audio components inaudible, failing to effectively differentiate between noise and valuable audio components in noisy environments.
Innovation Solution
A computer-implemented method and system that detects natural language phrases to categorize audio components, allowing or suppressing noise based on their importance, by analyzing audio using processors to adjust volume or categorization of audio components in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional noise suppression methods are applied to reduce environmental noise, then the noise level is reduced, but important audio components in the noise become inaudible
Solution Approach 1:
The patent segments the audio signal into multiple components including environmental noise, important audio components, and other elements. By categorizing audio components into different groups, the system can selectively suppress noise while preserving important sounds. The segmentation is achieved through analyzing audio characteristics and categorizing components based on their importance and type.
Solution Approach 2:
The patent applies different processing qualities to different audio components. Important audio components are preserved with high quality while environmental noise is suppressed. This local quality approach allows the system to treat each audio component differently based on its categorization, ensuring that critical sounds remain audible while noise is reduced.
2Loss of information
If natural language analysis is used to identify and preserve important audio components, then situational awareness is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary categorization of audio components by analyzing natural language phrases in the audio. By pre-identifying and categorizing important audio components before the main processing, the system prepares the audio data in advance, allowing for faster real-time processing and reduced latency during critical moments.
Solution Approach 2:
The patent replaces traditional mechanical or rule-based audio processing with natural language analysis and computational methods. By using processors to analyze and interpret audio content semantically, the system achieves more accurate identification of important components while optimizing processing efficiency through algorithmic approaches.
Data Source
AI summary
A method, system and computer program product for triggering an audio component change action is disclosed. The method includes analyzing audio corresponding to a period of time to identify one or more audio components of the audio that are matching to a defined set of feature parameters. The method also includes triggering an audio component change action on output of the audio, wherein effecting the audio component change action includes at least one of changing audio component volume and changing categorization of the one or more audio components, which may be based on NLP analyzation of preferences relating to volume and category of the one or more audio components.