PR: Anghami partners with Cyanite | Music discovery with AI-powered metadata across 2.5 million songs

PR: Anghami partners with Cyanite | Music discovery with AI-powered metadata across 2.5 million songs

PRESS RELEASE

Berlin 24.03.2026 -Anghami, the leading music and entertainment streaming platform in the MENA region with over 120 million registered users, has partnered with Cyanite to enrich 2.5 million songs using AI-generated music metadata.

By integrating Cyanite’s auto-tagging API, Anghami has enhanced its catalog with detailed audio-based metadata across mood, genre, energy, instrumentation, and more. This structured data layer feeds directly into Anghami’s internal recommendation systems, enabling more precise and scalable music discovery.

At a catalog scale of millions of tracks, metadata quality becomes a strategic driver of personalisation. Structured and consistent tagging enables streaming platforms to better match songs with listeners, surface long-tail content, and improve personalization across diverse repertoires.

For Anghami, the partnership also underscores its commitment to accurately representing the richness of Arabic music. A significant share of its catalog consists of regional content that is often underrepresented in Western-centric AI systems.

Because Cyanite analyses audio directly, rather than relying on behavioural signals or language-based metadata, its models operate consistently across musical cultures and languages.

Anghami operates one of the most culturally diverse music catalogs in the world. Ensuring that Arabic repertoire is tagged with the same precision as Western music is not trivial. We’re proud that our audio-based AI can support music discovery at this scale and across such a rich regional landscape.

Markus Schwarzer

CEO & Founder, Cyanite

Arabic music carries immense depth, emotion and cultural nuance. Through our partnership with Cyanite, we’re ensuring that this richness is understood at a data level, allowing us to power more accurate personalisation and elevate discovery for millions of listeners.

Elias El Khoury

VP Information & Content Systems, Anghami

About Anghami Inc. (NASDAQ: ANGH):

Anghami is the leading multi-media technology streaming platform in the Middle East and North Africa (“MENA”) region, offering a comprehensive ecosystem of exclusive premium video, music, podcasts, live entertainment, audio services and more. Since its launch in 2012, Anghami has led the way as the first music streaming platform to digitize MENA’s music catalog, reshaping the region’s entertainment landscape.

In a strategic move in April 2024, Anghami joined forces with OSN+, a leading video streaming platform, forming a digital entertainment powerhouse. This pivotal transaction strengthened Anghami’s position as a go-to destination, boasting an extensive library of over 18,000 hours of premium video, including exclusive HBO content, alongside 100+ million Arabic and International songs and podcasts.

With a user base exceeding 120 million registered users and 2.5 million paid subscribers, Anghami has partnered with 47 telcos across MENA, facilitating customer acquisition and subscription payment, in addition to establishing relationships with major film studios, entertainment giants, and music labels, both regional and international.

Headquartered in Abu Dhabi, UAE, Anghami operates in 16 countries across MENA, with offices in Beirut, Dubai, Cairo, and Riyadh.

To learn more about Anghami, please visit: https://anghami.com

For media inquiries, please contact:
Umar Gulamnabi – Associate, Integrated Media, Current Global
osncg@currentglobal.com
+971 56 827 1966

About Cyanite

Cyanite is an AI music intelligence platform that helps streaming services, publishers, and music platforms enrich and organize their catalogs. Its auto-tagging API analyzes audio directly to generate structured metadata across genre, mood, energy, instrumentation, and more. Cyanite has tagged over 40 million songs and is trusted by more than 200 companies worldwide, including Warner Chappell, BMG, Epidemic Sound, and APM Music.

Media contact
Jakob Höflich
CMO at Cyanite
jakob@cyanite.ai

For interview requests or additional data, please contact: jakob@cyanite.ai

Viralnoise x Cyanite: AI Music Search for Content Creation

Viralnoise x Cyanite: AI Music Search for Content Creation

Last updated on March 6th, 2025 at 02:14 pm

By Viralnoisehttps://www.viralnoise.com/

Finding the perfect track for your content used to mean endless scrolling, hoping you’d stumble across something that just worked. Those days? They’re over. Thanks to our partnership with Cyanite, creators are discovering their ideal soundtracks in seconds, not hours. Powered by Cyanite’s AI music search.

The Music Selection Struggle is Real

Here’s the thing about music selection: it’s make-or-break for your content, but it’s also one of the most time-consuming parts of the creative process. You know what you want your content to feel like, but translating that feeling into the right track? That’s where most creators hit a wall.

Maybe you’ve got zero musical background but you know you need something that builds energy without overwhelming your voiceover. Or you’ve heard the perfect track on someone else’s content and you’re desperate to find something similar. Traditional music libraries leave you playing guessing games with genre tags and hoping for the best.

Enter AI Music Search Intelligence

Our partnership with Cyanite has completely transformed how creators find music on Viralnoise – specifically when you need to match a specific sound. When combined with our carefully curated human-generated playlists and album collections, Cyanite’s AI provides a powerful AI music search tool for matching reference material. It’s like having a music supervisor who knows the entire Viralnoise catalog right there at your disposal, 24/7.

This is where the magic happens: Cyanite’s AI actually listens to music the way humans do, understanding mood, energy, instruments, and even emotional progression throughout a song. Got a YouTube video or Spotify track that has exactly the sound you want? Just drop that link into our search bar. Cyanite’s AI analyzes the musical DNA of your reference track and finds similar options in our catalog. Same energy, same mood, but completely cleared for your content.

Viralnoise’s AI search has completely changed how I approach finding music. I’m constantly discovering new artists and sounds that inspire me, so being able to just paste a link from YouTube or Spotify and instantly get similar tracks from Viralnoise’s catalog is a total game-changer. It’s saved me hours of digging through playlists.

Corey Moss

Content Creator, Bold Soul Sports

The time saved here is incredible. Instead of trying to describe what you heard in someone else’s video, you can show us exactly what you want and get matching options instantly.
Paste a link or upload an mp3 to search for similar tracks to your reference material

Find Similar Tracks in our Catalog

Already found something you like on Viralnoise but want more options with that same vibe? Cyanite’s AI can analyze any track in our catalog and surface similar options. This means when you find one great track, you’re actually finding a whole sonic palette to work with.

Every track has a Similar Search function that is easily accessed in the side bar.

Zero Musical Background Required

You don’t need to know the difference between a minor and major key to find professional-quality music for your content. The AI translates your creative vision into actual musical characteristics. This has democratized music selection in a way that’s never existed before.

Why This Partnership Changes Everything

Cyanite’s technology has made Viralnoise the go-to platform for creators who know exactly what they want but struggle to find it through traditional search methods. We’re talking about creators finding their perfect track in under a minute instead of losing entire afternoons trying to describe that one specific sound they heard somewhere else.

The AI understands musical relationships in ways that go far beyond genre tags. It recognizes when two tracks share similar emotional arcs, instrumentation choices, or energy patterns – even if they’re technically in different genres.

Professional Results, Creator-Friendly Process

What we’ve built together isn’t just faster – it’s smarter. The same tracks that major productions use are now accessible to solo creators through AI-powered search that actually understands what you’re trying to create.

When your content needs that perfect sonic foundation and you’re working against tight deadlines, having AI that can instantly parse our entire catalog based on your specific needs? That’s not just convenient – it’s revolutionary.

Ready to experience how AI-powered music search can transform your content creation workflow? Your perfect track is waiting at Viralnoise – and now it’s easier to find than ever.

Empowering Researchers with Free AI Music Analysis – Cyanite for Innovators Spotlight

Empowering Researchers with Free AI Music Analysis – Cyanite for Innovators Spotlight

We believe in the power of our AI music analysis tools to fuel creativity across diverse fields, from the arts and research to grassroots movements and creative coding.

That’s why we launched Cyanite for Innovators in 2023, a support programme designed to empower individuals and teams working on non-commercial projects across the arts, research and creative coding communities. Participants gain access to our AI music analysis tools, opening the door for groundbreaking experimentation in areas like interactive art, digital installations, and AI-driven research.

So far, we’ve received 20+ applications, five of which have been selected for the programme:

 

Are you working on a groundbreaking AI-driven project? Apply now and join a community of innovators shaping the future.

How to Apply

1. Click the button below.

2. Submit a detailed proposal outlining your project’s objectives, timeline, and expected outcomes.

3. Allow us 4-8 weeks to review your application and get back to you.

Music and Dance Visualizer by Dilucious

Agustin Di Luciano, a digital artist and developer, is pushing the limits of real-time interactivity with audio processing, motion capture, procedural generation, and Cyanite’s AI music analysis /ML technology.

His project creates immersive, AI-powered sensory landscapes, transforming movement and sound into stunning real-time visuals. These images are from his recent exhibition at the Art Basel Miami where he showed his Music Visualizer to Miami’s top tech entrepreneurs as well as notable Latin American art collectors.

Soundsketcher

Led by Asteris Zacharakis, PhD and funded by the Hellenic Foundation for Research and Innovation, Soundsketcher (2024–2025) is a cutting-edge research project that blends computational, cognitive, and arts-based methodologies to develop an application that automatically converts audio into graphic scores.

This technology assists users in learning, analyzing, and co-creating music, making music notation and composition more accessible and intuitive.

MusiQ

Kristóf Kasza developed MusiQ for his thesis at Budapest University of Technology and Economics, a multi-user service that sorts song requests based on parameters analyzed by Cyanite, using a FastAPI backend with Docker and a Flutter-based frontend.

Cyanite’s AI music analysis API enabled precise music sorting by key, genre, BPM, and mood, contributing to the project’s success, which earned him top marks, and while he has since started a full-time software development job, he looks forward to further enhancing MusiQ in the future.

Expanding the Boundaries of Queer Music Analysis: A Comparative Study with AI Insights

A research team arround Dr. Jörg Mühlhans from the University of Vienna, Institute of Musicology is conducting a large-scale quantitative analysis of 125 queer music songs, revealing key trends in emotional tone and queer representation, and aims to integrate Cyanite’s AI to validate, expand, and refine these insights for future research.

Thesis: What is the greatest factor in making a timeless song?

Huw Lloyd is conducting primary research for his dissertation to investigate the key musical, historical/cultural, and economic factors that contribute to a “timeless song”—one that resonates across generations—aiming to determine the most influential elements and provide insights for musicians seeking to understand and apply these trends.

Feel inspired?

If you have a research project in mind or would like to try out the technology that supports these innovative projects, click the button below to analyze your own songs!

PR: SourceAudio and Cyanite Join Forces, Offering Improved Music Discovery for Sync Licensing

PR: SourceAudio and Cyanite Join Forces, Offering Improved Music Discovery for Sync Licensing

Last updated on March 5th, 2025 at 05:14 pm

PRESS RELEASE

SourceAudio and Cyanite Join Forces, Offering Improved Music Discovery for Sync Licensing via AI-Powered Tagging and Search Los Angeles, February 26, 2025 – Source Audio, the music industry’s most widely adopted sync platform, today announced a groundbreaking collaboration with Cyanite, a pioneering AI-powered music analysis platform. With SourceAudio’s platform growing by approximately 50,000 new tracks weekly, this strategic alliance integrates Cyanite’s advanced AI music tagging and search capabilities directly into the industry’s most comprehensive music licensing ecosystem.

The integration enables SourceAudio’s vast network of music libraries and content owners to opt-in to instantly access Cyanite’s AI tagging and search system within their existing workflows, dramatically streamlining the metadata enhancement process for millions of tracks. This seamless solution eliminates traditional barriers to adoption, allowing content owners to immediately improve their music’s discoverability and licensing potential across SourceAudio’s rapidly expanding platform.

In additon, Cyanite has chosen SourceAudio as their delivery platform for both new and existing customers. This means all Cyanite users can now benefit from SourceAudio’s comprehensive hosting and licensing solution, with their audio files automatically tagged and optimized for search, discovery, pitching, and monetization via the world’s fastest-growing sync and CMS platform.

“By integrating Cyanite’s comprehensive music classification technology directly into SourceAudio’s platform, we’re delivering immediate ROI to our clients through enhanced discovery and optimization,” said Andrew Harding, Co-Founder & CEO at SourceAudio. “This collaboration combines the world’s most sophisticated AI tagging solution with sync licensing’s most active platform, creating unprecedented opportunities for rights holders to maximize the value of their catalogs.”

“Cyanite and SourceAudio complement each other perfectly, so teaming up with them just makes sense,” said Markus Schwarzer, CEO at Cyanite. “Rights holders use our tools because they know that enhanced metadata means better discoverability and more licenses. Now that they can immediately add their optimized catalogs to SourceAudio’s sync platform, the pathway to monetization is even shorter and more lucrative for our clients.”

The integration is already in use by a variety of music licensing platforms. These include ReelWorld, the most trusted name in radio jingles, radio imaging, and station branding, as well as Gramoscope Music, one of Hollywood’s leading music catalogs for TV and film. Viralnoise, Gramoscope’s new cutting-edge royalty-free music subscription-based platform for high-quality music, is also using the integration. Currently utilizing SourceAudio as their main sync platform, these companies will now be able to speed up harmonizing the different tagging schemas of all catalogs into one via Cyanite’s AI-powered metadata tagging.

“ReelWorld is trusted by some of the biggest brands on the planet to create sounds, music, and audio identities that are heard by millions of people every day,” said Craig Wallace, Chief Experience Officer of ReelWorld. “Adding the power of Cyanite to our services helped our clients find the right piece of music for their brand identity easier, faster, and more effectively than ever before! Having it integrated directly into SourceAudio is a game-changer.”

“This integration bridges the gap between powerful catalog management and seamless user navigation,” says Alec Puro, CEO and Founder of Gramoscope Music. “Our music supervision partners know exactly what they need, and now they have the tools to find it faster than ever. Speeding up the process from inspiration to licensing is essential for us and our clients, and this upgrade really makes a huge difference.”

“Our main customers are content creators and influencers who approach searching for music much differently than professional music supervisors. By integrating Cyanite’s intuitive tools into SourceAudio, we empower them to search seamlessly, whether through visual cues or reference sounds,” says Eric Meyers, Creative Director of Viralnoise. “Searching for music is the cornerstone of our user experience, and this addition truly makes this process seamless.”

For more information, visit sourceaudio.com and cyanite.ai.

About SourceAudio

SourceAudio, the music industry’s most widely adopted sync platform serving 570,000 users, over 100 media giants, and 2,500 US radio stations daily, aggregates more than 33 million songs from top-tier labels, libraries, catalogs, and publishers. Processing over 500,000 music searches weekly for sync licensing, the platform provides unparalleled connectivity between rights holders and major content creators, broadcast networks, and streaming services. At its core, SourceAudio excels in four high-value areas for clients: music discovery, distribution, protection, and payments. Its users maximize revenue opportunities through various channels, including YouTube Content ID, distribution, performance royalty collection, and global sync licensing at scale, effectively future-proofing catalogs in the ever-evolving music industry landscape.

About Cyanite

With over 200 business customers and 200,000 individual users, Cyanite leads the industry in AI-driven music analysis, tagging and search solutions helping music companies transform their catalogs into personalized, AI-powered music libraries with advanced discovery and recommendation features. Engineered in Germany, Cyanite’s fully proprietary software enables efficient keywording and music discovery for the entertainment and advertising industries. Trusted by leading companies like BMG, Epidemic Sound, and Warner Chappell, Cyanite offers API and no-code solutions to streamline music organization and discovery. Recognized with the VIA 2023 Award for Best New Music Business, Cyanite aims to become the universal intelligence that understands, connects, and recommends the world’s music.

SourceAudio Press Contacts:

Laurie Jakobsen, Jaybird Communications, 646-484-6764, laurie@jaybirdcom.com

Bill Greenwood, Jaybird Communications, 609-221-2374, bill@jaybirdcom.com

Cyanite Press Contacts:

Matt Cartmell, Carta Communications, +44 7930 485333, matt.cartmell@cartacomms.com

ENDS

PR: DAACI and Cyanite Announce Strategic Collaboration

PR: DAACI and Cyanite Announce Strategic Collaboration

Last updated on February 12h, 2025 at 05:14 pm

PRESS RELEASE

DAACI and Cyanite Announce Strategic Collaboration to Enhance AI-Driven Music Discovery and Adaptive Editing for the Sync Community

London/Berlin, February 12, 2025 – DAACI, a leader in adaptive AI music technology, and Cyanite, a pioneering provider of AI-powered music tagging and search solutions, are proud to announce a strategic partnership designed to advance the sync industry. Even Music Ally was reporting about it. The partnership aims to simplify creative sync by combining the task of finding the right song quickly with the delivery of perfectly edited music, cut directly to any video or gaming asset.

Connecting DAACI’s patented Natural Edits technology with Cyanite’s advanced tagging and search capabilities, this partnership offers an API-first approach to revolutionizing the workflows of music libraries, publishers, and sync platforms. These technologies allow platforms to streamline how sync professionals find, customize, and license tracks—all while ensuring seamless integration into existing infrastructures.

Natural Edits, part of DAACI’s Natural Series, enables platforms to offer their users customizable editing options for original tracks—such as looping background beds, precise cuts for specific narratives, or snippets for advertising. Coupled with Cyanite’s AI-driven tagging and search technology, platforms can empower their clients to efficiently discover and adapt music to meet a variety of creative briefs, from film and TV placements to advertising campaigns and gaming, reducing what was once a day-long process to a matter of minutes.

“Our partnership with DAACI is focused on enhancing what music platforms can offer to the sync community,” says Markus Schwarzer, CEO of Cyanite. “Through our API integration, we’re giving music libraries and publishers the ability to make music discovery and customization intuitive, scalable, and efficient for their clients. This is about enabling the industry to evolve while keeping workflows seamless.”

Dr. Joe Lyske, Co-founder of DAACI, adds, “The sync ecosystem thrives on innovation, and our partnership with Cyanite ensures that music platforms can adapt to the changing needs of their clients. With Natural Edits and Cyanite’s tagging and search capabilities, we’re providing music libraries and sync platforms with tools to unlock the full potential of their catalogs, offering tailored solutions for professionals in the field.”

“We’re excited to see this new collaboration between DAACI and Cyanite bring AI-driven music discovery and adaptive editing to the forefront,” said Jeff Perkins, CEO of Soundstripe, a client of both DAACI and Cyanite. “We’re always looking for ways to help content creators move faster while ensuring they have access to the highest-quality music. This partnership makes it even easier for our users to find and customize the perfect track in record time.”

This collaboration signifies a pivotal moment for the sync industry, where advanced AI capabilities are integrated directly into the platforms relied upon by sync professionals. By bridging music discovery and adaptive editing through API-driven solutions, DAACI and Cyanite are equipping the sync industry with the tools it needs to stay competitive and impactful.

ENDS

About DAACI:

DAACI develops next-gen smart and AI creative music tools.

Our series of patented technologies empower music makers to meet the rapidly growing demand for personalised music. Our technologies encompass tools that supercharge the creative process dynamically composing new music in real-time, and smart editing systems that seamlessly adapt existing tracks. Built by a world-class team of musicians and composers, DAACI’s technology is based on over 30 years of research. Incorporating a growing portfolio of 79 granted patents and supported by partnerships with the UKRI Centre for Doctoral Training in Artificial Intelligence and Music at Queen Mary University of London and the innovative Abbey Road Red incubator, DAACI is the go-to solution for creators who make and use music. With our series of pioneering plugins and tools, creators can benefit from our unique approach and our understanding of deep music theory, giving them multiple lifetimes’ worth of musical experience at their fingertips. For more information on DAACI: https://www.daacigroup.com

About Cyanite:

Cyanite helps music companies transform their catalogs into personalized, AI-powered music libraries with advanced search and recommendation features. Based in Mannheim and Berlin, Germany, Cyanite develops software that enables efficient keywording and music discovery for the entertainment and advertising industries. Trusted by leading companies like BMG, Epidemic Sound, and Warner Chappell, Cyanite offers API and no-code solutions to streamline music organization and discovery. Recognized with the VIA 2023 Award for Best New Music Business, Cyanite aims to become the universal intelligence that understands, connects, and recommends music globally.

Press Contacts:

Gemma Robinson

OLEX Communications

gemma@olexcommunications.co.uk

+44 7854 813 153

AI Music Search Algorithms: Gender Bias or Balance?

AI Music Search Algorithms: Gender Bias or Balance?

This is part 1 of 2. To dive deeper into the data we analyzed, click here to check out part 2.

Gender Bias in AI Music: An Introduction

Gender Bias in AI Music Search is often overlooked. With the upcoming release of Cyanite 2.0, we aim to address this issue by evaluating gender representation in AI music algorithms, specifically comparing male and female vocal representation across both our current and updated models.

Finding music used to be straightforward: you’d search by artist name or song title. But as music catalogs have grown, professionals in the industry need smarter ways to navigate vast libraries. That’s where Cyanite’s Similarity Search comes in, offering an intuitive way to discover music using reference tracks. 

In our evaluation, we do not want to focus solely on perceived similarity but also on the potential gender bias of our algorithm. In other words, we want to ensure that our models not only meet qualitative standards but are also fair—especially when it comes to gender representation

In this article, we evaluate both our currently deployed algorithms Cyanite 1.0 and Cyanite 2.0 to see how they perform in representing artists of different genders, using a method called propensity score estimation.

Cyanite 2.0 – scheduled for Nov 1st, 2024, will cover an updated version of Cyanite’s Similarity and Free Text Search, scoring higher in blind tests measuring the similarity of recommended tracks to the reference track.

    Why Gender Bias and Representation Matters in Music AI

    In machine learning (ML), algorithmic fairness ensures automated systems aren’t biased against specific groups, such as by gender or race. For music, this means that AI music search should equally represent both male and female artists when suggesting similar tracks.

    An audio search algorithm can sometimes exhibit gender bias as an outcome of a Similarity Search. For instance, if an ML model is trained predominantly on audio tracks with male vocals, it may be more likely to suggest audio tracks that align with traditional male-dominated artistic styles and themes. This can result in the underrepresentation of female artists and their perspectives.

    The Social Context Behind Artist Representation

    Music doesn’t exist in a vacuum. Just as societal biases influence various industries, they also shape music genres and instrumentation. Certain instruments—like the flute, violin, and clarinet—are more often associated with female artists, while the guitar, drums, and trumpet tend to be dominated by male performers. These associations can extend to entire genres, like country music, where studies have shown a significant gender bias with a decline in female artist representation on radio stations over the past two decades. 

    What this means for AI Music Search models is that if they aren’t built to account for these gendered trends, they may reinforce existing gender- and other biases, skewing the representation of female artists.

    How We Measure Fairness in Similarity Search

    At Cyanite, we’ve worked to make sure our Similarity Search algorithms reflect the diversity of artists and their music. To do this, we regularly audit and update our models to ensure they represent a balanced range of artistic expressions, regardless of gender.

    But how do we measure whether our models are fair? That’s where propensity score estimation comes into play.

    What Are Propensity Scores?

    In simple terms, propensity scores measure the likelihood of a track having certain features—like specific genres or instruments—that could influence whether male or female artists are suggested by the AI. These scores help us analyze whether our models are skewed toward one gender when recommending music.

    By applying propensity scores, we can see how well Cyanite’s algorithms handle gender bias. For example, if rock music and guitar instrumentation are more likely to be associated with male artists, we want to ensure that our AI still fairly recommends tracks with female vocals in those cases.

    Bar chart comparing the average female vocal presence across two Cyanite AI models. The blue bars represent the old model (Cyanite 1.0), and the green bars represent the improved model (Cyanite 2.0). A horizontal dashed purple line at 50% indicates the target for gender parity. The x-axis displays the likelihood of female vocals in different ranges, while the y-axis shows the percentage of female presence.

    Picture 1: We aim for gender parity in each bin, meaning the percentage of tracks with female vocals should be approximately 50%. The closer we are to that horizontal purple dashed line, the better our algorithm performs in terms of gender fairness.

    Comparing Cyanite 1.0 and Cyanite 2.0

    To evaluate our algorithms, we created a baseline model that predicts the likelihood of a track featuring female vocals, relying solely on genre and instrumentation data. This gave us a reference point to compare with Cyanite 1.0 and Cyanite 2.0.

    Take a blues track featuring a piano. Our baseline model would calculate the probability of female vocals based only on these two features. However, this model struggled with fair gender representation, particularly for female artists in genres and instruments dominated by male performers. The lack of diverse gender representation in our test dataset for certain genres and instruments made it difficult for the baseline model to account for societal biases that correlate with these features.

    The Results

    The baseline model significantly underestimated the likelihood of female vocals in tracks with traditionally male-associated characteristics, like rock music or guitar instrumentation. This shows the limitations of a model that only considers genre and instrumentation, as it lacks the capacity to handle high-dimensional data, where multiple layers of musical features influence the outcome.

    In contrast, Cyanite’s algorithms utilize rich, multidimensional embeddings to make more meaningful connections between tracks, going beyond simple genre and instrumentation pairings. This allows our models to provide more nuanced and accurate predictions.

    Despite its limitations, the baseline model was useful for generating a balanced test dataset. By calculating likelihood scores, we paired male vocal tracks with female vocal tracks that had similar characteristics using a nearest-neighbour approach. This helped eliminate outliers, such as male vocal tracks without clear female counterparts and resulted in a balanced dataset of 2,503 tracks, each with both male and female vocal representations.

    When we grouped tracks into bins based on the likelihood of female vocals, our goal was a near-equal presence of female vocals across all bins, with 50% representing the ideal gender balance. We conducted this analysis for both Cyanite 1.0 and Cyanite 2.0.

    The results were clear: Cyanite 2.0 produced the fairest and most accurate representation of both male and female artists. Unlike the baseline model and Cyanite 1.0, which showed fluctuations and sharp declines in female vocal predictions, Cyanite 2.0 consistently maintained balanced gender representation across all probability ranges.

    To see more explanation on how propensity scores can help aid gender bias in AI music and balance the gender gap, check out part 2 of this article.

    Conclusion: A Step Towards Fairer Music Discovery

    Cyanite’s Similarity Search has applications beyond ensuring gender fairness. It helps professionals to:

     

    • Use reference tracks to find similar tracks in their catalogs.
    • Curate and optimize playlists based on similarity results.
    • Increase the overall discoverability of a catalog.

    Our comparative evaluation of artist gender representation highlights the importance of algorithmic fairness in music AI. With Cyanite 2.0, we’ve made significant strides in delivering a balanced representation of male and female vocals, making it a powerful tool for fair music discovery.

    However, it’s crucial to remember that societal biases—like those seen in genres and instrumentation—don’t disappear overnight. These trends influence the data that AI music search models and genAI models are trained on, and we must remain vigilant to prevent them from reinforcing existing inequalities.

    Ultimately, providing fair and unbiased recommendations isn’t just about gender—it’s about ensuring that all artists are represented equally, allowing catalog owners and music professionals to explore the full spectrum of musical talent. At Cyanite, we’re committed to refining our models to promote diversity and inclusion in music discovery. By continuously improving our algorithms and understanding the societal factors at play, we aim to create a more inclusive music industry—one that celebrates all artists equally.

    If you’re interested in using Cyanite’s AI to find similar songs or learn more about our technology, feel free to reach out via mail@cyanite.ai.

    You can also try our free web app to analyze music and experiment with similarity searches without needing any coding skills.