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Grand Valley State UniversityScholarWorks@GVSU Technical LibrarySchool of Computing and Information Systems2020Audio Data Capture/Tagging Tools for Machine Learning Apps Alvaro Eugenio Aria Perez Grand

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What is audio data capture tagging tools?

Audio data capture tagging tools are software applications or systems that facilitate the organization, analysis, and categorization of audio recordings by adding metadata tags. These tags provide essential information about the content, context, and usage of the audio data.

Who is required to file audio data capture tagging tools?

Entities or individuals involved in audio data collection, processing, or distribution may be required to file with audio data capture tagging tools. This includes researchers, audio engineers, media companies, and other professionals who handle audio data in a regulated environment.

How to fill out audio data capture tagging tools?

To fill out audio data capture tagging tools, users should input relevant metadata fields such as title, author, date of recording, duration, genre, and any specific content descriptors. The exact process can vary by tool, so it's important to follow the guidelines provided by the specific software.

What is the purpose of audio data capture tagging tools?

The purpose of audio data capture tagging tools is to enhance the management and retrieval of audio data by enabling users to easily search, sort, and locate recordings based on their metadata. This facilitates improved analysis, sharing, and compliance with data regulations.

What information must be reported on audio data capture tagging tools?

The information that must be reported typically includes details such as the recording's title, description, date of creation, author or contributor, duration, and any tags or keywords that describe the content or context of the audio.

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