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AI-Powered Music Marketing feat. Chromatic Talents

AI-Powered Music Marketing feat. Chromatic Talents

by | Nov 30, 2023 | AI Analysis, Case Study, Interview, Music Industry

Chromatic Talents acts like a music brand consultancy providing a comprehensive range of services in artist management, development, digital branding, and business development. Find out how they use AI-Powered Music Marketing powered by Cyanite.

The goal of the Germany-based consultancy is to empower artists and brands to achieve their vision, serving a diverse clientele in the music industry, including newcomers, established artists, labels, and more. 

A recent success story was a collaboration with UK label C2 to market Matt Sassari’s “Give It To Me”. The song has been streamed over 300 million times.  You can find out more about Chromatic Talents here: https://chromatictalents.com/ 

Chromatic Talents Team

Chromatic Talents’ Team

We sat together with Julia and Simon from Chromatic Talents who have been using Cyanite since the beginning of 2023 and wanted to find out more about how exactly they use Cyanite to support their daily work with AI-Powered Music Marketing.

The key areas are:

  • Automatic categorization of demos
  • Pre-selecting songs for songwriter and sync-briefs
  • Using Cyanite for TikTok pitches
  • Data-driven decision-making in product management

Read the full interview below.

Cyanite: What made you initially reach out to us and how do you use Cyanite today?

Julia: We realized the importance of streamlining our demo categorization in our publishing service, particularly for international song pitches. The extensive music catalog we had, posed a challenge in terms of manual tagging and search efforts. We came across Cyanite’s analysis and automated tagging solution after the partnership announcement with BMG and it proved to be a game-changer in efficiently pinpointing the right songs.

Simon: In addition to improving our publishing service, we use Cyanite’s AI for our product management, specifically for Spotify pitches.  We conduct in-depth song analysis and employ Cyanite’s Track-mood analysis to curate mood-based playlists. This thorough methodology has resulted in increased playlist placements, benefiting both our publishing and product management services.

Playlist Mood Analysis Cyanite

An example of mood track analyses from the “4am” playlist on Spotify.

Similarity Search: Keeping up with pitching and sync

Julia: For specialized briefs like Tiesto’s, it’s essential to precisely align with the artist’s unique style for an impactful collaboration. Timely responses to briefs increase the chances of songs being heard. Speed and precision in pitching are important, especially when the brief includes specific requirements, like “uplifting,” “euphoric melodies,” or “female.”  We often use Cyanite’s Similarity-Search function for a quick pre-selection of songs for answering a brief. This method not only enhances our time management but also ensures cost-effectiveness for our clients.

A similarity search example with a Spotify reference showing similar library results.

Finding TikTok snippets with Cyanite

Simon: One area where Cyanite has made our lives easier is product management, especially when creating snippets for TikTok and social media platforms. We frequently discuss this aspect in our distribution talks to request social media-related content, and it has proven highly effective in helping us choose the right snippets.  This approach has enhanced the quality of our materials for distribution and song pitches, resulting in increased success rates.  While the 30-second suggestions are usually accepted as is, it ultimately depends on the artist, management, label, or distributor if they want to propose different parts for their campaigns or content ideas.

A screenshot highlighting the 30 seconds Most Representative Segment

Augmented Keywords – A Shortcut To Writing Song Bios

Julia: We actually also use the augmented keywords in combination with other AIs to help us write pitches. In this use case, one AI system generates keywords to describe songs, while another AI takes these keywords and assists in crafting engaging artist bios. This collaborative process simplifies product management and is particularly beneficial for the team. It’s a smart approach that streamlines tasks and enhances the quality of their work in the music industry. Tip: For a more detailed guide on this you can also check out How to Write a Song Bio for DSPs with Cyanite+ChatGPT

Cyanite: How long did it take to properly start working with Cyanite? 

Julia: It was really easy, and we adopted Cyanite early in our workflow. Simon’s choice to integrate Cyanite into our pitching process was a significant step.  We set up a straightforward process that starts with uploading songs and automatically tagging them before moving the data over to Songspace. Right now, uploading the songs takes up most of our time. Once we get them cataloged, we put together pitching playlists and send them out to our partners.

Songspace interface including Cyanite tags.

Case Study Wrap-Up

Chromatic Talents is at the forefront of reshaping the music industry through innovation and technology.  In collaboration with us, they have achieved remarkable results.

AI-powered Music Marketing and Pitching: Utilizing Cyanite’s Track-mood analysis for Spotify playlist pitching and placements, along with using the “most representative segment” for TikTok clips. 

Precision in Pitching and Sync-Briefs: Cyanite’s Similarity Search ensures swift pre-filtering of Chromatic Talents’ catalog and enables faster responses to artists & A&R briefs, saving time and costs for clients.

Streamlined Pitching with Augmented Keywords: Augmented keywords, in collaboration with other AI systems, accelerate the writing of song bios, simplifying product management.

Chromatic Talents’ seamless integration of Cyanite into their workflow demonstrates the transformative impact of technology on the music industry. By blending creative expertise with cutting-edge AI, they continue to define the future of music.

 

Interested in trying out Cyanite for your company? Get in touch with us here, or click the sign-up button below.

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How To Prompt: The Guide to Using Cyanite’s Free Text Search

How To Prompt: The Guide to Using Cyanite’s Free Text Search

by | Nov 24, 2023 | How-to Guide, AI Analysis, Music Industry

A New Holistic Music Search

Do you have trouble always translating your vision for music into precise keywords? If so, this guide on how to prompt using Cyanite’s Free Text Search is your answer.

It’s a revolutionary way to search your music catalogue and discover music that allows you to use complete sentences to describe soundscapes, film scenes, daily situations, activities, and environments.

NEW UPDATE: You can now input your search in several languages & use cultural references in your prompts! Find out more below.

 

The Key to Success: Specificity

Before we dive into the exciting possibilities of Free Text Search, it’s essential to understand that like any other prompt-based search experience, specificity is the key to success.

The more details you provide in your prompts, the better your results will be. Whether you’re a music enthusiast, filmmaker, or content creator, specificity is your friend.

 

1. Describing Sound

With Free Text Search, you can now add context and even cultural references to your search, making it possible to find the perfect soundtrack for your project and get the most out of your music catalog.

Here are some examples of how to describe sound:

“Trailer with sparse repetitive piano and dramatic drum hits with Star Wars style orchestra themes”

“Laid-back future bass with defiant female vocal”

“Staccato strings with a piano playing only single notes”

“Solo double bass played dramatically with a bow”

These prompts go beyond keywords and provide context, allowing Free Text Search to understand the relationships between words and deliver top results.

Now, even combining words like “laid-back” and “defiant” leads to success. 

 

An example result for the prompt: “Laid-back future bass with defiant female vocal”.

2. Describing Film Scenes

Film scenes can evoke a wide range of emotions and visuals. When using Free Text Search for this purpose, consider whether your prompt can be objectively interpreted or if it’s your personal interpretation.

With our new update you can reference popular movies like: Pirates of the Caribbean or Stranger Things in your search prompts!

Here are some scene description examples:

“Riding a bike through Paris”

“Thriller score with Stranger Things style Synths “

“Tailing the suspect on a Middle Eastern bazaar”

“The football team is getting ready for the game”

The last example is a good one because it indicates the feeling of getting pumped up but can be interpreted in various ways.

To fine-tune your search, add different words like “orchestral,” “industrial rock,” or “hip-hop” to steer it in the direction you want.

An example result for the prompt: “Riding a bike through Paris”

3. Describing Activities, Situations, and Moods

Free Text Search empowers you to be as specific as your project demands. Whether it’s high-energy gym sessions, road trips, cleaning the house, or silent work and concentration, you can pinpoint the ideal tracks that resonate with your activities and moods.

Here are some examples:

“Latin trap for the gym.”

“Mellow California rock for the road trip.”

“Colorful pop music to listen to while cleaning the house.”

“Soundscapes for silent work and concentration.”

Of course, you can combine all of the above to create the perfect prompt.

Example result for the prompt: Mellow California rock for a road trip”

Wrap-Up: How To Prompt – Your Music Discovery Journey

With Free Text Search, the possibilities are (almost) limitless. This innovative approach allows you to search your music catalog based on detailed descriptions, making it easier to find the perfect soundtrack for any project or mood. 

Whether you’re pitching music for sync, to artists, or labels, looking to underscore a film scene, or setting the mood for an activity, Free Text Search empowers you to explore music in a whole new way.

As you craft your prompts, remember that the more specific and objective you can be, the better your results will be. Use concrete details like instruments, playing styles, and specific scenes or activities. 

You already have the resources in your library. Get more out of it with Cyanite’s Free Text Music Catalogue Search.

Curious? Request a Trial

Try Cyanite’s Free Text Search and discover the perfect soundtrack for your next project. Just send us an email to sales@cyanite.ai or fill out this typeform and we will provide you with a free trial.

Your Cyanite Team.

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How to Write a Song Bio for DSPs with Cyanite+ChatGPT

How to Write a Song Bio for DSPs with Cyanite+ChatGPT

by | Oct 13, 2023 | How-to Guide, AI Analysis, Music Industry

A Step-by-step guide: How to write a song bio for DSPs like Spotify, Youtube, Bandcamp, Soundcloud, Tidal, Deezer, and Pond5

In one of our latest blog posts, we showcased the best ways to utilize Cyanite as an artist or producer. With AI on the rise, you won’t be surprised that you can also make use of these tools to write a song bio.

Cyanite + ChatGPT: How to elevate your pitches for various DSPs.

Distributors and DSPs want to know as much as they can about your song to ensure they can place it in the right playlists and target the right audience – and we all know how challenging it can be to find the right words to describe our own music. Writing a good song bio is crucial to get playlisted on DSPs.

When uploading my songs to Pond5, this process used to take me around 2 hours per track and now it is just 20 minutes with Cyanite + ChatGPT.

Guillermo Pareja, Cyanite User

We are going to give you a step-by-step guide on how to streamline this process.

1. The Power of AI Tagging – Log into your Cyanite Account

First things first: If you don’t have an account yet, sign up here. Cyanite provides a ton of metadata for your song, and for up to 5 songs per month, it’s free. Need more? We’ve got you covered. Just upgrade to a subscription for an additional 15 monthly analyses, or get some extra one-time credits.

Subscription
One-time Analyses

2. Upload your song to Cyanite

Head to “Library” and upload the song you want to use. For this use case, we need the genre, advanced moods, character, and movement tags.

To get the best results, choose the right tags from each “mean” section, offering you a percentage of every tag. Leave out the ones that you might not agree with personally, but be careful not to be too subjective!

For even better results: use Cyanite’s Augmented Keywords and AI Descriptions to enhance your prompt in the next step – only available for subscription users

3. The Almighty Chat GPT

For the next step, you need to log into your ChatGPT account and start writing your prompt. Be as specific as possible about the platform you want to use the description and keywords for.

Let ChatGPT know what you are looking for – this could be anything from whole text descriptions or keywords to a brand new song title.

Then copy the genre, character, mood, and movement tags and paste them into the chatbot. 

For a better result, add Cyanites AI Description to the prompt.

4. Pimp Up Your Prompt

You might have already found what you’re looking for. But there’s potentially more. Just like with copying homework, you want to be careful not to have the same results as everyone else on Spotify.

Try to enrich your ChatGPT prompt with personal details. This could range from anything like musical inspirations to the place where it’s been recorded. 

Pretty much anything you can think of.

5. Refine your Results

When writing your song bio, there’s no magical solution for everything, so in each case, this can be a source of inspiration rather than a finished text description or song title.

So it’s best to rewrite the text in your own words.

In any case, you’ve surely obtained results that will help you distribute your track on a variety of platforms.

Curious how the song we used sounds?

In case you discover further interesting use-cases for Cyanite, feel free to reach out to us here.

A big thank you to Guillermo Pareja for supporting us on this post. He got in touch with us to let us know about this use case and how benificial it has been to him.

Your Cyanite Team.

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4 Best Ways to Use Cyanite for Artists, Producers, and DJs

4 Best Ways to Use Cyanite for Artists, Producers, and DJs

by | Sep 14, 2023 | Music Industry, AI Analysis, How-to Guide

For all Late Bloomers – What is Cyanite?

Cyanite is no newcomer to the music industry. Launched in 2019, its industry-leading AI has brought a user traffic of over 40,000 users to the web app. It helps creatives and artists get the most out of their music by extracting powerful metadata, from moods to whole audio descriptions, making Cyanite an indispensable tool for musicians. We at Cyanite are proud to collaborate with industry majors like BMG, MySphera, and Pond5.

Let’s take a closer look at how artists, producers, and DJs can make the most out of the data hiding behind the audio by exploring the best use cases.

Cyanite’s Auto Tagging has been a life saver as I’ve been submitting my music to Spotify playlists and music sync libraries. It has helped me get placed and get my music massive momentum on Spotify.

Garrett Lodge, Cyanite User

1.  What Genre is my Music? – Playlist Pitching

With Spotify offering thousands of genres to choose from, defining your song’s genre(s) has become a challenging task. However, selecting the right genres is crucial, especially for newcomers to the industry, as it significantly impacts your track’s discoverability.

Thanks to DAW’s like Logic Pro X and Ableton, creating music is easier than ever before. But this also means the competition is bigger than ever.
In order to break through the mass of thousands of songs that get uploaded daily, providing metadata for your tracks is crucial.

We’ve trained our AI with datasets of thousands of songs and matching descriptions, to help it understand music and genres possibly even better than you do. Curious about how to use this for your music?

Check out this blog post: “How to Create a Spotify Pitch That Works? – Playlist Pitching Guide with Examples and Tips – Cyanite.ai”.

Or, check out this step-by-step video guide by Indie Music Producer below.

2.  Self-Promote Your Music: Create Custom Audiences

In the music industry, 40 years ago, you needed a record deal to get your music heard. Fast forward to 2023, and you have powerful marketing tools at your fingertips, such as Instagram, TikTok, and Google Ads. To maximize the effectiveness of your advertising, it’s essential to narrow down your audience as much as possible. Metal Heads are unlikely to click on an ad for your new Hyper-Pop song – or are they?

If you have your song ready for release and struggle to find the perfect match with another artist’s project, let me introduce you to Cyanite’s Similarity Search. Curious? We’ve dedicated an entire blog entry to elucidate the process: “How to Create Custom Audiences for Pre-Release Music Campaigns in Facebook, Instagram, and Google – Cyanite.ai“.

Illustration of an interface showing a list of similar songs to a reference track

3.  Write Press Releases with Cyanite

While promoting your tracks on Instagram and other social media platforms is an excellent starting point, music marketing is quite similar to receiving presents on Christmas – the more, the merrier.
Crafting a press release and submitting it to blogs or platforms like SubmitHub is an effective way to get more attention for your music.

Although producing your music feels natural, describing the finished product from an external perspective can be challenging. By utilizing Cyanite’s Auto-Tagging and Mood Detection algorithms, you can bypass the arduous task of finding the right words. Learn more in our blog post: “How to Write Press Releases and Music Pitches with Cyanite”.

 

4.  Crafting the Perfect Playlist for Every Occasion

If you’re a DJ or playlist curator, you’re undoubtedly aware of the significant time investment required to create the perfect play- or setlists. However, with Cyanite’s Similarity Search, you can drastically streamline this process. Pair it with the harmonic mixing tool, Camelot Wheel, and you’ll achieve smoother transitions than ever before. Discover our comprehensive guide on optimizing your playlists and DJ sets on our website: “How to Use Cyanite to Optimize Your Playlists and DJ Sets for Harmonic Mixing and Similarity”.

Sign Up for Free – Get Started!

Interested in trying out any of our examples for yourself?
Simply sign up here or delve deeper into Cyanite’s offerings on our newly redesigned website, Cyanite.ai, or explore our latest updates on our blogs for the latest news.

And as always, if you have questions, just send an email to support@cyanite.ai.

Your Cyanite Team.

AI Panel: Using AI Music Search in a Co-Creative Approach between Human and Machine

AI Panel: Using AI Music Search in a Co-Creative Approach between Human and Machine

by | Oct 17, 2022 | AI Analysis, Music Industry

In September 2022, Cyanite co-founder, Markus took part in a panel discussion at Production Music Conference 2022 in Los Angeles.

The panel topic was to discuss the role of AI in a co-creative approach between humans and machines. The panel participants included Bruce Anderson (APM Music), Markus Schwarzer (Cyanite), Nick Venti (PlusMusic), Philippe Guillaud (MatchTune), and Einar M. Helde (AIMS API). 

The panel raised pressing discussion points on the future of AI so we decided to publish our takeaways here. To watch the full video of the panel, scroll down to the middle of the article. Enjoy the read! 

Human-Machine Co-creativity

AI performs many tasks that are usually difficult for people, such as analyzing song data, extracting information, searching music, and creating completely new tracks. As AI usage increases, questions of AI’s potential and its ability to create with humans or create on their own have been raised. The possibility of AI replacing humans is, perhaps, one of the most contradicting topics. 

The PMC 2022 panel focused on the topic of co-creativity. Some AI can create on their own, but co-creativity represents creativity between the human and the machine.

So it is not the sum of individual creativity, rather it is the emergence of various new forms of interactions between humans and machines. To find out all the different ways AI music search can be co-creative, let’s dive into the main takeaways from the panel:

Music industry challenges

The main music industry challenge that all participants agreed on was the overwhelming amount of music produced these days. Another challenge is reaching a shared understanding of music.

The way someone searches for music depends on their understanding of music which can widely differ and their role in the music industry. Music supervisors, for example, use a different language to search for music than film producers.

We talked about it in detail at Synchtank blog back in May 2022. AI can solve these issues, especially with the new developments in the field.

Audience Question from Adam Taylor, APM Music: Where do we see AI going in the next 5 years?

So what’s in store for music AI in the next 5 years? We’re entering a post-tagging era marked by the combination of developments in music search. Keyword search will no longer be the main way to search for or index music. Instead, the following developments will take place: 

 

  • Similarity Search has shown that we can use complex inputs to find music. Similarity search pulls a list of songs that match a reference track. It is projected to be the primary way of searching for music in the future. 

 

  • Free Searches – Search in full-text that allows searching for music in your own words based on natural language processing technologies. With a Free Search, you enter what comes to mind into a search bar and the AI suggests a song. This is a technology similar to DALL-E or Midjourney that returns an image based on text input.

 

  • Music service that already knows what to do – in a further perspective, music services will emerge that recommend music depending on where you are in your role or personal development. These services will cater to all levels of search: from an amateur level that simply gives you a requested song to expert searches following an elaborate sync brief including images and videos that accompany the brief or even a stream of consciousness.

Audience Question from Alan Lazar, Luminary Scores: Can I decode which songs have the potential to be a hit?

While some AI companies attempted to decode the hit potential of music, it is still unclear if there is any way to determine whether the song becomes a hit.

The nature of pop culture and the many factors that compile a hit from songwriting to production and elusive factors such as what is the song connected make it impossible to predict whether or not a song becomes a hit. 

The vision for AI from Cyanite – where would we like to see it in the future?

AI curation in music is developing at a lightning speed. We’re hoping that it will make music space more exciting and diverse, which includes in particular: 

 

  • Democratization and diversity of the field – more opportunities will become available for musicians and creators, including democratized access to sync opportunities and other ways to make a livelihood from music. 

 

  • Creativity and surprising experiences – right now AI is designed to do the same tasks at a rapid speed. We’re hoping AI will be able to perform tasks co-creatively and produce surprising experiences based on music but also other factors. As music has the ability to touch directly into people’s emotions, it has the potential to be a part of a greater narrative.
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Video from the PMC 2022 panel: Using AI Music Search In A Co-Creative Approach Between Human and Machine

Bonus takeaway: Co-creativity between users and tech – supplying music data to technology

It seems that we should be able to pull all sorts of music data from the environments such as video games and user-generated content. However, the diversity of music projects is quite astonishing.

So when it comes to co-creativity from the side of enhancement of machine tagging with human tagging, personalization can be harmful to B2B. In B2B, AI mainly works with audio features without the involvement of user-generated data.

Conclusion

To sum up, AI can co-create with humans and solve the challenges facing the music industry today. There is a lot in store for AI’s future development and there is a lot of potential.

Still, AI is far away from replacing humans and should not replace them completely. Instead, it will improve in ways that will make music searches more intuitive and co-creative responding to human input in the form of a text search, image, or video. 

As usual with AI, some people overestimate what it can do. Some tasks such as identifying music’s hit potential remain unthinkable for AI.

On the other hand, it’s not hard to envision the future where AI can help democratize access to opportunities for musicians and produce surprising projects where music will be a part of a shared emotional experience.

We hope you enjoyed this read and learned more about AI co-creativity and the future of AI music search. If you’re interested to learn more, you can also check out the article “The 4 Applications of AI in the Music Industry”. If you have any feedback, questions, or contributions, please reach out to markus@cyanite.ai.

I want to integrate AI search into my library – how can I get started?

Please contact us with any questions about our Cyanite AI via mail@cyanite.ai. You can also directly book a web session with Cyanite co-founder Markus here.

If you want to get the first grip on Cyanite’s technology, you can also register for our free web app to analyze music and try similarity searches without any coding needed.

Cyanite App

AI looks into the Sound of Iconic Fabric Club Compilations

AI looks into the Sound of Iconic Fabric Club Compilations

by | May 4, 2022 | AI Analysis

One year ago, we analyzed the sound of 9 iconic German clubs and tried to uncover representative elements behind the musical curation of each club using Cyanite’s music analysis algorithms.

Today we ask ourselves if our AI can shed light on how electronic music has evolved over the last 20 years. Which club would be better suited for this than London’s Fabric? Its legendary club compilations hand-picked by popular and emerging DJs boast almost 20 years of history.

We look into all the main characteristics of Fabric compilations such as genre, mood, and energy level to show how the sound of the club progressed over the years.

Our Methodology
Fabric compilations feature two series – fabric and Fabriclive. Friday nights at the club are known as Fabriclive. These albums feature such artists as James Lavelle, Tayo Popoola, and Daniel Avery. The live element of Fabriclive nights doesn’t mean they were recorded live. Saturday nights bear the name of fabric. Fabric albums feature such artists as Craig Richards, Omar-S, Shackleton, and many more.

Although the two series are clearly different from each other, we will try to find out if our AI can find common elements that could be characteristic and representative of Fabric’s sound and its development over time.

Our approach was to narrow the analysis down to the most favorite Fabric compilations. For this, we used the best-of lists from media outlets such as DJ Mag, Mixmag, and the Fabric team itself. In total, we selected 25 compilations and limited the analysis to them. You can find the full list at the end of the article.  

Our findings include: 

  • fabric series progressed from house to techno
  • Fabriclive exhibits a strong tendency toward breakbeat/drum and bass
  • Fabriclive series has more albums with uplifting vibes than fabric
  • fabric’s sound is robotic and bouncy and Fabriclive is pulsing and driving
  • Common elements of fabric and Fabriclive compilations are high energy and a cool character.

And many more interesting insights, so keep reading to find them out.

Genre and Sub-genre

fabric compilations are dedicated to electronic dance as the main genre. Fabriclive is more diverse in its genre featuring electronic dance and other sub-genres such as funk-soul, rap/hip hop, and rock.

The sub-genre feature in Cyanite provides 48 sub-genres from abstract IDM / leftfield to trap. The Drill and Grime popular within the UK scene are likely to be classified as trap.

Each sug-genre has a score from 0-1 where 0 indicates that the track is unlikely – 0% – to represent the sub-genre, and 1 indicates that the track by 100% represents the given sub-genre. 

Insights from the sub-genre analysis: from house to techno for fabric, and drum and bass for Fabriclive

On the graphics below, you’ll see the development of main sub-genres over time for fabric and Fabriclive. 

The first fabric compilations (fabric 01, fabric 10, fabric 11, and fabric 31) are heavily focused on house music. In fabric 36, Ricardo Villalobos delivers an album that is consistently minimal and house. Finally, in the latest years, fabric compilations gear toward techno with fabric 96 being the most (50%) techno album of all.

In the Fabriclive series, albums change sub-genres from one album to another, sometimes rather abruptly. Some albums have one dominant sub-genre, others are a mix of various sub-genres in relatively similar proportions. It starts with house as a sub-genre for Fabriclive 01 and Fabriclive 09. And then we practically don’t see another house album till Fabriclive 59 and Fabriclive 66.

Meanwhile, breakbeat / drum and bass takes over, Fabriclive 32 is 32% breakbeat / drum and bass and Fabriclive 44 and Fabriclive 46 are fully breakbeat / drum and bass with 80% and 73% respectively. Finally, Fabriclive 75 restores a bit of a balance with a combination of drum and bass, electro, and house. 

Finally, the odd ones out are Fabriclive 07 by John Peel which is indie / alternative at the core, Fabriclive 24 by Diplo which is mainly electro, and Fabriclive 36 by LCD Soundsystem which is 39% disco. There is definitely more variety and experimentation within the Fabriclive series.

Mood
Let’s see how the moods played out in the fabric and Fabriclive series. The moods work the same way as genre and sub-genre in Cyanite and represent the emotion of the track on a scale from 0 to 1 (0-100%). 

Insights from the mood analysis: fabric – dark, energetic, and ethereal, Fabriclive – energetic and uplifting

Both fabric and Fabriclive are quite energetic. fabric series tend to be more dark and ethereal, while Fabriclive is uplifting.

The more detailed analysis reveals the difference between individual compilations:

The darkest compilation – fabric 36 featuring Ricardo Villalobos.

The most energetic and aggressive one – fabric 60 by Dave Clarke.

The most ethereal album – fabric 55 by Shackleton.

The most energetic Fabriclive compilations are Fabriclive 09 by Stuart Price, Fabriclive 24 by Diplo.

Most uplifting albums – Fabriclive 36 by LCD Soundsystem and Fabriclive 09 by Stuart Price.

The happiest album is Fabriclive 09 by Stuart Price.

Fabriclive 09 by Stuart Price is an album with a lot of extremes being one of the most energetic, uplifting, and happiest albums.

Looking at the results, if you want to get or expend some energy during the weekend both fabric and Fabriclive nights are a great choice. If you want a bit of happier and uplifting vibes, Friday Fabriclive nights are probably your best bet. On the contrary, Saturday fabric nights tend to be on the dark side. 

But the results vary across the compilations with some odd figures in between. So you might become a witness to the Fabriclive night where dark, ethereal, and sad moods are prevalent similar to Fabriclive 50 by DBridge and Instra:mental.  

Character
The character describes qualities distinctive to a track and is one of the newer features in Cyanite. It contains such classifiers as warm, playful, heroic, luxurious, and more, which depicts the expressive form of music and describes its appearance rather than mood. 

Insights from the character analysis: fabric – luxurious, cool, and mysterious, Fabriclive – cool, unpolished, and powerful. 

fabric compilations have a cool and luxurious character but only at the start in fabric 01, fabric 10, and fabric 19 albums. In later compilations, the sound continues to be cool with a touch of mysterious and bold, which makes sense with Techno being more present in these albums. Finally, fabric 55 breaks through with an ethereal character but it still maintains a bit of mystery. fabric 60 and fabric 91 introduce unpolished character while the last one, fabric 96, is mysterious and ethereal.

Fabriclive compilations also have a strong cool character across almost all albums. The cool character of some albums is often complimented with unpolished vibes. Such are Fabriclive 32, Fabriclive 42, and Fabriclive 44.

In Fabriclive 24, Fabriclive 38, and Fabriclive 42, bold accompanies the cool character. Overall, our data shows bold, cool, unpolished, and powerful as overarching themes for Fabriclive with no clear skew in one direction. 

Movement
Movement is another new feature in Cyanite. It describes the overall manner of how the sound changes or “moves” across the track. Movement in music can be described as bouncy, driving, flowing, groovy, nonrhythmic, pulsing, robotic, running, steady, or stomping.  

Insights from the movement analysis: Fabric – robotic and bouncy, Fabriclive – pulsing and driving

This is an average across the compilations and individual albums’ values may vary.

Energy Level
Out of all fabric albums, Dave Clark’s fabric 60 has the most tracks with a high level of energy. fabric 36 stands out with a lot of medium energy tracks, while low energy is not really characteristic of any of the fabric compilations. Out of 11 fabric albums, 7 have high energy.

Insights from the energy analysis: both fabric and Fabriclive compilations are high energy overall

dBridge and Instra:mental’s Fabriclive 50 is probably the lowest energy album of all Fabriclive compilations. Out of 14 Fabriclive albums, 10 have the majority of tracks with high energy, so the Fabriclive series is also high energy overall.

Conclusion
What does all this data mean? It shows the development of Fabric sound across the years and paints a picture of a club that pretty much remained true to its goals and mission from the start. While there are some variations across fabric and Fabriclive compilations, both are dedicated to the electronic dance genre, with house and techno as sub-genres for fabric, and breakbeat / drum and bass, techno, house, plus some rap/hip hop, rock, and soul for Fabriclive. 

The differences in mood and movement between fabric and Fabriclive are where the club brings some experimentation within the series as well as between the series. With fabric delivering the darkest vibes, it is hard not to appreciate the uplifting nature of Fabriclive sound. With movement also, the differences between the series are apparent. While fabric’s movement values are robotic and bouncy, Fabriclive is characterized by pulsing and driving vibes. 

As for the character and energy levels, they are pretty consistent. The club maintained its cool character on Friday and Saturday nights throughout the years, additionally introducing more mysterious sound for fabric and unpolished sound for Fabriclive in the latest years. 

It appears that it might be possible to detect how the club sound changed over time as well as explore the differences between the club nights. For a legendary club such as Fabric, it is an opportunity to decide whether to stay on a well-known path or steer in a different direction in the future.

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