Automatic Audio Production Using Semantic Rules

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Solution Overview

Problem

Current automatic audio production systems lack adaptability to varying instrumentation, genre, and output destinations, as they do not utilize semantic-based analysis to dynamically adjust control parameters and production objectives.

Innovation Solution

The implementation of semantic-based analysis that uses data from audio signals to determine audio processing actions, employing static or dynamic semantic rules derived from reference records to adjust processor configurations and control parameters in real-time, ensuring optimal audio production based on specific features and user preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual audio processing is performed by skilled audio engineers, then audio quality and aesthetic characteristics are improved, but labor intensity and costs increase

Engineering Contradiction:

Improveaudio qualityVSAvoidlabor intensity

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system enables automatic audio production by having the computer system perform audio processing tasks autonomously without human intervention. The semantic-based analysis automatically determines processing actions and parameters, replacing manual audio engineering work while maintaining professional-quality output.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual audio processing with an automated computer-based system that uses semantic analysis and rule-based processing. This substitution eliminates the need for human audio engineers to manually adjust parameters while preserving the quality outcomes through intelligent automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automatic audio production is implemented without semantic-based analysis, then productivity increases, but adaptability to varying instrumentation and genre decreases

Engineering Contradiction:

Improveautomation levelVSAvoidadaptability to genre and instrumentation

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system uses dynamic semantic rules that can adapt to different audio inputs. The semantic-based analysis dynamically determines processing actions based on the specific characteristics of the audio signal, instrumentation, and genre, allowing the automated system to flexibly adjust to varying requirements rather than applying fixed processing parameters.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes processing parameters based on semantic analysis of the input audio. By analyzing semantic features of the audio signal and applying corresponding rules, the system automatically adjusts processing parameters to match the specific instrumentation and genre, enabling high adaptability within an automated framework.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If semantic-based analysis is used to determine processing actions, then adaptability to diverse audio content improves, but device complexity increases

Engineering Contradiction:

Improveadaptability to audio characteristicsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the audio processing task into distinct components: semantic feature extraction, rule-based analysis, and processing parameter determination. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining high adaptability through modular design.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces semantic rules as an intermediary layer between the audio input and processing operations. These rules act as a mediator that translates semantic analysis results into specific processing actions, simplifying the connection between complex semantic features and concrete audio processing parameters.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If dynamic semantic rules are applied, then adaptability to real-time audio changes is improved, but processing stability worsens

Engineering Contradiction:

Improvereal-time adaptabilityVSAvoidprocessing stability

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system applies semantic analysis and rule processing at periodic intervals throughout the audio processing pipeline. This periodic application allows the system to maintain stability through consistent processing frameworks while still adapting to dynamic variations by re-evaluating semantic features at each processing stage.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentEP3039674B1System and method for performing automatic audio production using semantic data

Publication Date: 2019.04.17 LANDR AUDIO

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AI summary

There is described a computer implemented method for performing automatic audio production, comprising: receiving an audio signal to be processed; receiving semantic information; determining at least one semantic-based rule using the received semantic information, the semantic-based rule comprising production data that defines how the audio signal to be processed should be produced; processing the audio signal to be processed using the production data, thereby obtaining a produced audio signal; outputting the produced audio signal.