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PR: Cyanite appoints Jay Ahern as Director of Music Industry Relations

PR: Cyanite appoints Jay Ahern as Director of Music Industry Relations

PRESS RELEASE

Cyanite appoints Jay Ahern as Director of Music Industry Relations

Mannheim/Berlin, March 10, 2022 – Music industry veteran Jay Ahern joins the further growth of Cyanite as Director of Music Industry Relations and brings with him an impressive track record from the music industry with previous stations at LANDR, PIAS, Domino, Beatport, and The Orchard.

With a background across the spectrum of digital distribution, A&R, product, partnerships, and operations, Jay always saw a loss of business due to incorrect metadata throughout his career and the opportunity to leverage Cyanite’s mission to enable the music industry to develop products with cutting-edge creative metadata and search algorithms.

In his previous position at LANDR, Jay has shaped the global expansion strategy and acted as the representative for Europe. At IRRUPT he set up product collaborations with Native Instruments, Roland and Ninja Tune, and developed the digital distribution of Berlin’s infamous Hard Wax record store.

At Beatport, he was a central figure to launch Beatport Sounds and served as an A&R and North America consultant at finetunes/The Orchard.

Throughout his entire career, he has always nurtured his artistic side while working in the music business itself. Based in Berlin, he has been a producer for over 10 years with live performances in Fabric, Berghain, and many other clubs in Europe, Japan, and North America. 

Cyanite CEO Markus Schwarzer says: “After 5 minutes of our first call, it was crystal clear that Jay is the perfect addition to our growing team. With his background, he brings a deep understanding of our customers, knows the intricacies of the music industry, and has a strong grasp of technology and AI. We are very excited to have Jay on board and look forward to working with him to further cultivate and grow our relationships and partnerships with the music industry.”

Press and picture material can be found in a printable resolution via this link.

Background to Cyanite:
Cyanite empowers companies from the music and creative industries with algorithms for music analysis and discovery. The start-up is one of the leading independent innovators in the field of music-AI and supports some of the most renowned and innovative players in the music and creative industry. Among the music companies using Cyanite are APM Music, Mediengruppe RTL, BPM Supreme, SWR, the music publishers Nettwerk, NEUBAU Music, and Schubert Music, and the sound branding agencies Universal Music Solutions, TAMBR, and amp sound branding. The 16-person team is mainly located in Berlin and Mannheim and supported by a renowned group of international business angels and family offices from the music business, AI sector, and startup world.

Press Inquiries 

Jakob Höflich

Co-Founder

+49 172 447 0771

jakob@cyanite.ai

Headquarter Mannheim

elceedee UG (haftungsbeschränkt)

Badenweiler StraĂźe 4

68239 Mannheim

Berlin Office

Cyanite

GneisenaustraĂźe 44/45

10961 Berlin

Website: https://www.cyanite.ai/

Web App: https://app.cyanite.ai/register

API: https://api-docs.cyanite.ai/

LinkedIn: Cyanite.ai

Twitter: Cyanite.ai

Cyanite API Update – New Sub-Genres and More

Cyanite API Update – New Sub-Genres and More

We are proud to announce our latest API update. This update includes new sub-genres, improved genres, improved similarity search, and more. For details, see full documentation here. 

Now let’s take a closer look at it!

New Sub-Genre Classifiers

A ton of new sub-genres were added to the existing ones. Among them: blues-rock, folk-rock, hard rock, indie alternative, psychedelic progressive rock, punk, rock-and-roll, pop-soft-rock, abstract IDM left field, breakbeat DnB, deep house, electro, house, minimal, synth-pop, tech house, techno, trance, contemporary RnB, gangsta, jazzy hip-hop, pop-rap, trap, black metal, death metal, doom metal, heavy metal, metalcore, nu-metal, disco, funk, gospel, neo-soul, soul, big band swing, bebop, contemporary jazz, easy listening, fusion, Latin jazz, smooth jazz, country, and folk. 

Improved Genre Classifier

The genre classifiers have also been improved to give more accurate results. The country, folk, and punk genres are now deprecated to be replaced by the country, folk, and punk sub-genres.

Improved Similarity Search

The algorithm powering the Similarity Search has been improved. The Similarity Search now yields better results when searching for similar tracks based on musical features.

Removal of old GraphQL API types

Finally, we completely removed everything InDepthAnalysis related from our GraphQL schema.

To see the full list of changes, head over here.

Go ahead and start coding

Contact us with any questions about our API services via mail@cyanite.ai. Give us a shout-out on Twitter, LinkedIn or wherever you feel like. Don’t hold back with feedback on what we can improve.

If you want to get a first grip on how Cyanite works, you can also register for our free web app to analyze music and try out similarity searches without any coding needed.

If you are a coder and want to join the ride, please send your application to careers@cyanite.ai.

PR: APM Music Partners with Cyanite to Enhance Music Tagging

PR: APM Music Partners with Cyanite to Enhance Music Tagging

PRESS RELEASE

APM Music partners with Cyanite to Enhance Music Tagging

Mannheim/Berlin/Los Angeles, September 9, 2021 – APM Music, the largest production music library in North America, and Cyanite, a technology company developing a suite of AI-powered music search products announced today a strategic partnership that will provide users with improved tagging and metadata to enhance their search queries.

A superior music discovery experience begins with content that is comprehensively, consistently, and accurately tagged. With an ever-growing music library such as the one APM Music has been providing the marketplace for nearly four decades, maintaining high-quality tagging and precise metadata at a large scale is a primary concern. Incorporating Cyanite’s AI will allow APM Music to introduce human-assisted auto-tagging to the music submission and review process, thus increasing the quality and consistency of tagging.

APM Music’s President/CEO Adam Taylor comments: “For APM Music, accurate and reliable music tagging has always been of the utmost importance and we are aligned with Cyanite on this constant strive for quality. Markus and the team have proven that they are able to quickly react to our feedback and improve their algorithms at a rapid speed. We are excited to integrate artificial intelligence into APM and create the best possible support for our team.”

Cyanite’s artificial intelligence listens to and categorizes songs, helping to deliver the right music content, no matter the use case. Integrating this technology will benefit the end user by ensuring search queries continue to yield accurate and tailored results as APM’s music library expands in depth and breadth.

Markus Schwarzer, CEO of Cyanite: “We look forward to working with such a prestigious and renowned partner as APM Music. Everyone on their team is a unique expert in their field. Being the chosen AI partner for the important and extensive transition into this new age of music distribution fills our entire team with pride.”

The addition of Cyanite’s technology extends APM’s commitment to continually increasing the quality and performance of its search engine, thereby delivering a superior quality discovery experience to match its richness of catalog.

Anyone wishing to try Cyanite’s technology can register for the Web App free of charge and upload music or integrate Cyanite into an existing database system via their API.

Full press material including German press release can be found via this link.

Background to APM Music:
APM Music is located in Hollywood, California, and is the premier go-to source for production music. Founded in 1983, APM Music is the largest production music library in North America. To find out more, please visit www.apmmusic.com. 

Background to Cyanite:
Cyanite believes that state-of-the-art technology should not be exclusive to big tech companies. The start-up is one of Europe’s leading independent innovators in the field of music-AI and supports some of the most renowned and innovative players in the music and audio industry. Among the music companies using Cyanite are the Mediengruppe RTL, the record pool BPM Supreme. the radio station SWR, the music publishers NEUBAU Music and Schubert Music, and the sound branding agencies Universal Music Solutions, TAMBR, and amp sound branding.

Press Inquiries 

Jakob Höflich

Co-Founder

+49 172 447 0771

jakob@cyanite.ai

Headquarter Mannheim

elceedee UG (haftungsbeschränkt)

Badenweiler StraĂźe 4

68239 Mannheim

Berlin Office

Cyanite

GneisenaustraĂźe 44/45

10961 Berlin

Embracing AI in Your Sonic Branding

Embracing AI in Your Sonic Branding

Ever wondered what sonic identities are and how they can be created? Sonic identity is a fairly recent term, that means an audio representation of the brand’s voice, look and feel. When not actively engaging with visual content, the audience can passively listen and sonic identities strive to capture that passive attention. Sonic identities can be quite effective at that, as the cases of McDonald’s “I’m Lovin It” jingle and Mastercard branding confirm.

Recently, we’ve been invited to take part in the overview of best sonic identities 2021. The rating managed by amp sound branding is an annual data-heavy research on how brands use sounds to amplify their voices. Our co-founder, Markus, contributed to the research with a standalone article on how to use AI to develop and sustain a consistent sonic identity. The article draws on such points as:

    • How AI can be used in marketing decisions, in particular, when forming a sonic identity
    • How music is chosen by the brands, and why AI is better at picking the right sound
    • What consistency in sonic branding means and how to achieve it
    • How emotions are used by AI to tag songs and reflect the brand identity.

Additionally, you are invited to check the rating of sonic identities and see which brands performed best at capturing our listening attention. The article is a truly thought-provoking read, revealing the future of sonic branding!

To read the article and see the rating, you’ll need to download the report here.

If you want more insight on how Cyanite AI can be helpful in your marketing efforts you can also reach out to Markus here.

 

Cyanite API Update – New Instruments and More

Cyanite API Update – New Instruments and More

We are proud to announce the latest API update. This update includes 8 new instrument classifiers, improved BPM, Key, and Time Signature detection, and improved Similarity Search.  For details, see full documentation here: https://api-docs.cyanite.ai/blog/2021/05/06/changelog-2021-05-06/

Now let’s take a closer look at it!

New Instrument Classifiers

Now, additionally to our percussion classifier, we expose the synth,  piano, acousticGuitar,  electricGuitar, strings, bass, bassGuitar and brassWoodwinds classifiers.

We also deprecated the AudioAnalysisV6Result.instruments field.

The new field AudioAnalysisV6Result.instrumentTags exposes a list of detected instruments throughout the track.

New Key and BPM classifier

The FullScaleMusicalAnalysis and FastMusicalAnalysis types are now deprecated and will be removed from the API on 15 June 2021.

The new AudioAnalysisV6Result.key and AudioAnalysisV6Result.bpm expose improved key and bpm values over the now deprecated FullScaleMusicalAnalysis and FastMusicalAnalysis.

New Time Signature Classifier

The AudioAnalysisV6Result.timeSignature now exposes the time signature of the track (e.g. 3/4 or 4/4) as a string.

New Improved Similarity Search

We improved the performance of our similarity search based on audio features. In addition to that, we exposed a new single field that allows searching similar tracks for both library and Spotify tracks with additional filters for bpm, key, and genre.

Go ahead and start coding

Contact us with any questions about our API services via mail@cyanite.ai. Give us a shout-out on Twitter, LinkedIn or wherever you feel like. Don’t hold back with feedback on what we can improve.

If you want to get a first grip on how Cyanite works, you can also register for our free web app to analyze music and try out similarity searches without any coding needed.

If you are a coder and want to join the ride, please send your application to careers@cyanite.ai.

Cyanite API Update – Version 6 now live!

Cyanite API Update – Version 6 now live!

After months of hard work, our new API update is finally live! Part of the new classifier generation are our 13 new moods, EDM sub-genres, percussion and the sound-based musical era of a song. Here you can find the new API generation’s full documentation: https://api-docs.cyanite.ai/blog/2021/02/05/changelog-2020-02-05

The new API update includes:

• 13 new moods

• 17 different genres

• 8 EDM sub-genres

• Voice – male/female/instrumental

• Voice presence

• Percussion

• Musical era

• Experimental keywords

We also set up versioning because we do not want to force anyone immediately to upgrade to the latest generation. We now introduce each new generation as separate GraphQL fields.

Further, we added a new webhook format that is more flexible and consistent.

Now let’s take a closer look at it!

Mood

The mood multi-label classifier provides the following labels:

aggressive, calm, chilled, dark, energetic, epic, happy, romantic, sad, scary, sexy, ethereal, uplifting

Each label has a score reaching from 0-1, where 0 (0%) indicates that the track is unlikely to represent a given mood and 1 (100%) indicates a high probability that the track represents a given mood.

Since the mood of a track might not always be properly described by a sigle tag, the mood classifier is able to predict multiple moods for a given song instead of only one. A track could be classified with dark (Score: 0.9), while also being classified with aggressive (Score: 0.8).

The mood can be retrieved both averaged over the whole track and segment-wise over time with 15s temporal resolution. In addition the score the API also exposes a list which includes the most likely moods, or the term ambiguous in case of none of the audio not reflecting any of our mood tags properly.

Genre

The genre multi-label classifier provides the following labels:

ambient, blues, classical, country, electronicDance, folk, indieAlternative, jazz, latin, metal, pop, punk, rapHipHop, reggae, rnb, rock, singerSongwriter

Each label has a score reaching from 0-1 where 0 (0%) indicates that the track is unlikely to represent a given genre and 1 (100%) indicates a high probability that track represents a given genre.

Since music could break genre borders the genre classifier can predict multiple genres for a given song instead of only predicting one genre. A track could be classified with rapHipHop (Score: 0.9) but also reggae (Score: 0.8).

The genre can be retrieved both averaged over the whole track and segment-wise over time with 15s temporal resolution. In addition the score the API also exposes a list which includes the most likely genres.

EDM Sub-Genre

In case a track’s genre got classified as electronicDance, the EDM sub-genre classifier is available for going to a deeper analysis layer, applying the following labels for edm sub-genres:

breakbeatDrumAndBass, deepHouse, electro, house, minimal, techHouse, techno, trance

Each label has a score reaching from 0-1 where 0 (0%) indicates that the track is unlikely to represent a given sub-genre and 1 (100%) indicates a high probability that track represents a given sub-genre.

The EDM sub-genre can be retrieved both averaged over the whole track and segment-wise over time with 15s temporal resolution. In addition the score the API also exposes a list which includes the most likely EDM sub-genres.

Voice

The voice classifier categorizes the audio as female or male singing voice or instrumental (non-vocal).

Each label has a score reaching from 0-1 where 0 (0%) indicates that the track is unlikely to have the given voice elements and 1 (100%) indicates a high probability that track contains the given voice elements.

The voice classifier results can be retrieved both averaged over the whole track and segment-wise over time with 15s temporal resolution.

Voice Presence

This label describes the amount of singing voice throughout the full duration of the track and may be none, low, medium or high.

Percussion

The instrument classifier currently only predicts the presence of a percussive instrument, such as drums or drum machines or similar. The result is displayed under the label of percussion.

The label has a score reaching from 0-1 where 0 (0%) indicates that the track is unlikely to contain a given instrument and 1 (100%) indicates a high probability that track contains a given instrument.

The instrument classifier result can be retrieved both averaged over the whole track and segment-wise over time with 15s temporal resolution.

Musical Era

The musical era classifier describes the era the audio was likely produced in, or which the sound of production suggests.

Experimental Keywords

Experimental taxonomy that can be associated with the audio. The data is experimental and expected to change. The access must be requested from the cyanite sales team.

Example keywords:

uplifting, edm, friendly, motivating, pleasant, happy, energetic, joy, bliss, gladness, auspicious, pleasure, forceful, determined, confident, positive, optimistic, agile, animated, journey, party, driving, kicking, impelling, upbeat,

Go ahead and start coding

Contact us with any questions about our API services via mail@cyanite.ai. Give us a shout-out on Twitter, LinkedIn or wherever you feel like. Don’t hold back with feedback on what we can improve.

If you want to get a first grip on how Cyanite works, you can also register for our free web app to analyze music and try out similarity searches without any coding needed.

If you are a coder and want to join the ride, please send your application to careers@cyanite.ai.