Question 1

What is CoverNet?

Accepted Answer

CoverNet is an advanced AI-powered service designed to meticulously scan all music streaming & sharing platforms for undetected copyright usage. In addition to detecting basic unauthorized usage of an artist’s repertoire, CoverNet is also capable of flagging unlicensed covers & AI-generated vocal deep fakes – even with considerable variations in voice, language, pitch, style, or tempo. CoverNet’s intuitive dashboard allows for an easy visualization of all important metrics, providing an integrated solution for publishers, CMOs, PROs & record labels.

Question 2

What problems does CoverNet address?

Accepted Answer

CoverNet tackles the critical issue of copyright infringement in the digital music landscape. Traditional detection methods often overlook unlicensed covers & are unequipped to recognize sophisticated AI-generated vocal clones. CoverNet’s spot-on music similarity detection technology fills this gap by offering real-time reporting & alerts, enabling swift & decisive actions when dealing with copyright infringements – thus safeguarding intellectual property.

Question 3

Why is CoverNet missing from the industry?

Accepted Answer

While there are tools that offer some level of copyright detection, none are as comprehensive & granular as CoverNet. Designed to scan all music streaming & sharing platforms using our advanced music similarity detection technology, CoverNet offers a level of precision that is unprecedented in the music industry – whether it’s to identify unlicensed music covers or AI-generated vocal deep fakes. Thanks to CoverNet, industry professionals are now able to put a number on their missed revenue opportunities from performing rights, as well as monetize infringing content.

Question 4

What do users gain from using CoverNet?

Accepted Answer

Our clients benefit from CoverNet’s all-encompassing feature set. Our detailed, line by line reporting structure allows them to quickly sort through flagged content and to act immediately on copyright infringements. CoverNet’s intuitive dashboard streamlines everything from tracking to action-taking, making it an ideal solution for all music stakeholders, regardless of their role in the industry.

Question 5

What makes CoverNet an unprecedented solution for rights holders & how does it enable market control?

Accepted Answer

CoverNet is a revolutionary platform that offers features that are truly unique in the realm of music copyright enforcement & market control. CoverNet doesn’t just track standard copyright infringements – it also identifies unlicensed music covers & AI-generated vocal deep fakes across all music streaming & sharing platforms. This significantly expands the scope of performing rights, thereby increasing revenue opportunities for rights holders by alerting them in real time about masters that they may not have been aware of. Additionally, CoverNet is capable of reporting all tracks that unsolicitedly utilize the vocal identity of artists, typically in the form of AI-generated vocal deep fakes. This level of insight allows for unparalleled market control, making CoverNet an invaluable tool for anyone serious about protecting their musical assets.

Question 6

How can CoverNet enhance revenue streams & streamline the claims process for rights holders?

Accepted Answer

CoverNet provides rights holders with a comprehensive solution tailored to the modern music landscape. Not only can it swiftly identify music covers that have not secured the necessary mechanical licenses, but it also detects AI-generated vocal deep fakes. Furthermore, CoverNet ensures that performance rights are not overlooked, enabling rights holders to claim royalties from public performances of their works, even if they're in a covered or modified form. By offering this multi-faceted approach, CoverNet streamlines the claims process, ensuring that rights holders receive all the revenue they are entitled to, from mechanical to performance royalties. This holistic approach amplifies revenue streams and safeguards the interests of artists and producers in an increasingly complex digital music ecosystem.

Question 7

How does Cover differentiate between covers & original music?

Accepted Answer

CoverNet’s advanced AI can efficiently identify an original track, regardless of varying genres, tempos, keys & languages. The platform uses this to recognize & provide information on any repurposed covers of the original, including track modifications such as speed & pitch variations.

Question 8

Does CoverNet only scan major streaming platforms for copyright infringements, or does it also scan less mainstream platforms?

Accepted Answer

CoverNet currently works with multiple sources, including YouTube, Spotify, and Apple Music. Expanded compatibility is coming soon to popular streaming platforms such as TikTok, Amazon Music, Deezer, Tidal, Pandora, SoundCloud, and Vimeo.

Question 9

Can CoverNet handle covers in different languages?

Accepted Answer

Yes, CoverNet can recognize covers accurately & efficiently, regardless of the language.

Question 10

Can CoverNet analyze both music files & web links?

Accepted Answer

Yes, CoverNet can analyze music files or links. The tool offers the option of sending links instead of loading music files, which helps safeguard musical assets and protect against potential copyright infringement.

Question 11

What sets CoverNet apart from other cover detection tools in the market?

Accepted Answer

CoverNet differentiates itself through its unique combination of precision & versatility. While many other tools focus solely on standard copyright infringements, CoverNet extends its reach to identify deep fakes & unlicensed covers across all platforms. It's not just a "stand-alone" service; it also adds value to tracking companies by offering licensing options for our proprietary technology. In addition to its cutting-edge AI model capable of identifying musical similarities across different genres, keys, & languages, CoverNet provides actionable insights, facilitating efficient & effective copyright claims.

Question 12

How does MatchTune discern between monetized & non-monetized content, without having rights holders’ info for each platform?

Accepted Answer

MatchTune utilizes a method of collecting publicly available information from selected platforms to determine video monetization. Our analysis involves scrutinizing each video to ascertain whether ads are being run by the platform. It’s important to note that while we can detect ad presence, we do not have specific insights into whether the monetization benefits the platform, the video owner, or another party who may have claimed a portion or all of the revenue. Additionally, we incorporate information accessible from APIs and Content Management Systems provided by these platforms to enhance our analysis.

Question 13

What exactly does “detected” mean in the context of copyright scanning?

Accepted Answer

Detected means that the video's audio track was scanned and positively identified by the platform's detection algorithm (e.g., ContentID for YouTube). Conversely, not detected indicates the platform was unable to match the audio content of the video against known copyright-protected material.

Question 14

What do the colors in the reporting dashboard denote?

Accepted Answer

Red indicates that the video is monetized, but the audio was not identified by the platform's detection algorithm (e.g., ContentID for YouTube). Green indicates that the video is not monetized, and the audio was not detected. Blue indicates that the video is not monetized, but audio has been detected and properly licensed or claimed.

Question 15

What defines a "suspicious" song?

Accepted Answer

Suspicious songs are typically linked to the correct rights holders if they have been detected by a platform's detection algorithm (such as "Content ID" for YouTube). CoverNet provides insights into the track's status, especially when a song is not detected.

Question 16

Do you plan to integrate other platforms?

Accepted Answer

We're currently focused on YouTube and are in the beta testing phase for integration with 8 other platforms, including Vimeo, Spotify, Apple Music, TikTok, Pandora, Tidal, and more.

Question 17

Who mostly uses CoverNet?

Accepted Answer

MatchTune is primarily used by publishers, PROs, labels, and artists, catering to a range of needs from claiming works on licensed platforms to identifying enforcement targets.

Question 18

What are the different result sections? (Official, Masters, Covers & AI)

Accepted Answer

The "Official" section includes the complete collection of videos hosted on the artist's official YouTube account, including their Vevo channel, as well as accounts on streaming platforms like Spotify and Apple Music. This serves as a central repository for all content officially released and associated with the artist on these platforms.

"Masters" are results identified through digital fingerprinting technology, which detects audio correlations across tracks. This process can reveal various adaptations of a song that incorporate original elements from the master recording, such as remixes, altered versions, and unauthorized uses of the track.

"Covers" refer to interpretations of the artist's songs recreated with different instrumentation and without using any original elements. Our proprietary AI technology identifies covers by analyzing tracks and flagging them based on their resemblance to the structure and melody of the original work. Covers typically involve new performances by other artists, often with distinct styles or arrangements, making them different from remixes or sampled versions.

The "AI" section features a list of works by various artists in which the selected artist's voice has been digitally used in place of the original singer’s. These versions are generated using deepfake technology or voice-swapping techniques, allowing the artist's voice to perform a song they didn’t originally record. This section highlights a growing trend in AI-driven audio manipulation, where technology enables new, hybrid works by altering vocals while keeping the original instrumental track or composition intact.

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