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What is MatchTune?

Explore a comprehensive range of innovative AI solutions designed to tackle modern issues in the music industry while enhancing your creative workflow. Identify potential copyright infringements in your video content and seamlessly replace any problematic tracks with suitable, licensed options. Boasting an astounding accuracy rate of 99.9%, these tools can detect deepfake music, allowing you to differentiate between genuine performances and their imitations. Moreover, you can adjust the duration of music, either extending or shortening it to suit your project's requirements, while preserving the core characteristics of the original piece. With these state-of-the-art capabilities, artists and creators are better equipped to navigate the evolving musical landscape and unleash their full creative potential. This suite of tools not only streamlines the creative process but also helps safeguard your work in an increasingly complex environment.

What is DeepFake-o-meter?

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.

Media

Media

Integrations Supported

Audioatlas

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

MatchTune

Date Founded

2017

Company Location

United States

Company Website

www.matchtune.com

Company Facts

Organization Name

UB Media Forensics Lab

Date Founded

2020

Company Location

United States

Company Website

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Categories and Features

AI Audio Editors

Not specified

Deepfake Detection

Not specified

Categories and Features

Deepfake Detection

Not specified

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