Audio Annotation via Interactive User Feedback

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Solution Overview

Problem

Existing techniques for classifying digital audio files are inefficient, requiring manual annotation and relying on user knowledge of metadata or subjective acoustic similarity, which limits accuracy and usability in search and retrieval applications.

Innovation Solution

A computer system and method that utilizes an interactive environment where multiple users listen to audio files and provide annotation items, with agreement-based feedback and rewards, to generate semantic labels and tags, and an aggregate model specifying probabilistic relationships between audio content and annotation items, enabling accurate and scalable classification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual annotation is used to classify audio files, then classification accuracy is improved, but time consumption and cost increase

Engineering Contradiction:

Improveclassification accuracyVSAvoidannotation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables audio files to be annotated automatically through user interactions and feedback mechanisms. Users listen to audio clips and provide feedback, which the system processes to generate annotations without requiring manual expert annotation of every file.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback loops where users provide annotations and feedback on audio files, and this feedback is used to improve the annotation quality and train the system for automatic classification, creating a self-improving annotation process.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If manual annotation is used to classify audio files, then classification accuracy is improved, but cost increases

Engineering Contradiction:

Improveclassification accuracyVSAvoidannotation cost

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses multiple users providing simple feedback annotations rather than relying on expensive expert annotators. The collective feedback from many users creates accurate annotations at lower cost per file.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Ease of operation

If acoustic similarity techniques are used for search, then user-friendly search is improved, but accuracy and interpretability worsen

Engineering Contradiction:

Improvesearch usabilityVSAvoidsearch accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The system introduces semantic annotations as an intermediary between acoustic similarity and search results. These annotations provide interpretable labels that bridge the gap between acoustic matching and meaningful search results, improving both accuracy and interpretability.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS8112418B2Generating audio annotations for search and retrieval

Publication Date: 2012.02.07 RGT UNIV OF CALIFORNIA

AI summary

Embodiments of a computer system to determine one or more annotation items associated with an audio file are described. During operation, the computer system provides an interactive environment in which multiple users listen to the audio file within a time interval. Next, the computer system receives one or more annotation items associated with the audio file from the multiple users. Then, the computer system displays the received one or more annotation items from the multiple users in the interactive environment, thereby enabling the multiple users to provide feedback to a given user in the multiple users.