Automated Sound Effect Integration via NLP Trigger Analysis

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Solution Overview

Problem

Manual addition of sound effects in audio files is labor-intensive, time-consuming, and often results in poor quality with inappropriate or imprecise sound effects, as it heavily relies on human subjective judgments.

Innovation Solution

A method and apparatus for automatically adding sound effects to audio files by identifying trigger words, determining context information, and selecting appropriate sound effects from a library based on sentence-level information, thereby integrating them into the audio file.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual addition of sound effects is used, then human subjective judgment can be applied, but labor intensity increases and time consumption increases

Engineering Contradiction:

Improvequality of sound effect selectionVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical selection of sound effects with an automated system that uses NLP technology. The system automatically identifies trigger words in text content, determines context information, selects appropriate sound effects from a library, and integrates them into the audio file without human intervention, thereby eliminating time consumption while maintaining quality through algorithmic decision-making

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically processing the entire sound effect addition workflow. It independently identifies trigger words, analyzes context, selects sound effects, and integrates them into the audio file, eliminating the need for manual human operation and significantly reducing time consumption while maintaining consistent quality

Inventive Principle:

Principle #25Self-service

2Reliability

If manual addition of sound effects is used, then human judgment can be applied, but labor intensity increases

Engineering Contradiction:

Improvequality of sound effect selectionVSAvoidlabor intensity

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The patent replaces manual mechanical selection of sound effects with an automated system that uses NLP technology. The system automatically identifies trigger words in text content, determines context information, selects appropriate sound effects from a library, and integrates them into the audio file without human intervention, thereby eliminating labor intensity while maintaining quality through algorithmic decision-making

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically processing the entire sound effect addition workflow. It independently identifies trigger words, analyzes context, selects sound effects, and integrates them into the audio file, eliminating the need for manual human operation and significantly reducing labor intensity while maintaining consistent quality

Inventive Principle:

Principle #25Self-service

3Reliability

If manual addition of sound effects is used, then human judgment can be applied, but productivity decreases

Engineering Contradiction:

Improvequality of sound effect selectionVSAvoidprocessing speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual mechanical selection of sound effects with an automated system that uses NLP technology. The system automatically identifies trigger words in text content, determines context information, selects appropriate sound effects from a library, and integrates them into the audio file without human intervention, thereby eliminating labor intensity while maintaining quality through algorithmic decision-making

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically processing the entire sound effect addition workflow. It independently identifies trigger words, analyzes context, selects sound effects, and integrates them into the audio file, eliminating the need for manual human operation and significantly reducing labor intensity while maintaining consistent quality

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12027155B2Automatically adding sound effects into audio files

Publication Date: 2024.07.02 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Disclosed are a method and apparatus for automatically adding sound effects into an audio file. At least one trigger word may be identified from text content corresponding to the audio file (1210). Context information of the at least one trigger word may be determined from the text content (1220). It may be decided, based on the context information of the at least one trigger word, that sound effect addition is applicable the at least one trigger word (1230). A sound effect corresponding to the at least one trigger word may be selected from a sound effect library (1240). The sound effect may be integrated into the audio file (1250).