In the ocean of over 120,000 new tracks uploaded to streaming services every day, emerging artists often feel like they’re shouting into a void. With nearly a quarter of new tracks never being played, and 42% receiving fewer than 10 plays, the task of finding a fan base might feel like an insurmountable mountain to climb. This is sometimes referred to in music streaming as the cold start or “zero plays” problem. Enter SoundCloud’s ‘First Fans’ initiative – a new tool powered by Musiio’s AI, designed to give artists a fair shot at being heard by the right audience. Initially built for creators ..read more

When you use AI to automate tagging, it’s like having a music expert listen to (and categorise) your tracks. You get accurate track data that adheres to a cohesive and defined taxonomy.  Sure, AI tagging saves you time, but it’s also the foundation for loads of creative solutions to real business problems. One of those is automating playlist curation. On the Musiio blog, we recently looked at an easy, time-saving way to use this AI-generated tag data to help create playlists. We specifically say “help” because we firmly believe that AI is best applied as an assistive tool. It automates th ..read more

We get it. You’ve just received your tags but want to maximise their value. You also want to save time on various internal processes. Well, tags let you do that. In the following video, we’re going to show you how you can use our tags to create simple, automated filtering systems that will save you a lot of time on playlist curation. This system has been perfected by Musiio customers such as Beatmix and Thematic, so go and check out their case studies, too. Want to find see how the Tag API could help you maximise revenue from your catalogue? Drop us a message on Twitter, LinkedIn&nb ..read more

Here’s an uncontroversial statement: vocals are the most important musical element in commercial music. And they come in many forms. Think about how different the controlled soul of Beyoncé is from Chris Stapleton’s rugged croon or Future’s pitch-locked autotune rap sound.  They all have a completely different effect on the listener. So, knowing what kind of vocals a track has – if any – can help listeners navigate large catalogues more effectively. Whether your users are looking for the perfect instrumental sync track or similar female-vocal-led tracks for a playlist, having granular tag ..read more

As a video creator, how do you build your channel’s identity? Sure, there’s your visual aesthetic, shooting style, and how you tell your story. But, the music you use – both for intros and for music beds – can set the tone and give your audience important cues about the type of creator you are.  Music is your sonic branding. It plays a huge role in how people perceive you, and it’s integral to your personal brand. So what kind of creator are you, and how do you want to be seen? Are you a research-heavy tech blogger? A rebellious thought leader? A travel-hungry hipster? In this blog p ..read more

As a catalogue manager, you need to create the best experience for your users. But not every user has the same musical vocabulary, or the same level of experience navigating large music libraries. That’s why we have two mood sets: Standard and Enhanced. We’ve explored the mood sets individually over the last couple of blog posts, but this time we’ll aim to answer the question: “Which mood set is right for your audience?” Simply put, the Standard Moods (V1) classifier is easily understood by casual listeners. It offers 15 tags, with 90 per cent accuracy. Tags include broad, easily understandabl ..read more

Last week we looked at Musiio’s Standard Moods classifier. This is a useful top-level set of moods that’s great for streaming services, recommendations, sync and more.  Our newly introduced Enhanced Moods classifier recognises 41 distinct moods, rather than the 15 found in V1, and works hand-in-hand with Standard Moods. These extra moods give catalogue owners a chance to describe their music with greater nuance than ever. Crucially, this additional layer of detail makes accessing the perfect track quicker, and building playlists for every niche even slicker. We’ll get into some interestin ..read more

Something we often get asked is how Musiio Moods work. Over the next few weeks, we’re going to be walking you through our entire set of Moods to give you a greater understanding of how these tags work and how you can best use them.  First, we will be looking at our Standard (V1) Moods. Used on 500 million tracks to date, this set of moods will set a solid foundation of mood-based metadata for your catalogue.  We often refer to them as ‘basic’ or ‘simplified’ moods because the tags are easy for users to understand. There’s also not much crossover between these and our Enhanced (V3) Mo ..read more

Working in artificial intelligence, it might stand to reason that the tech team at Musiio would be up on the most cutting edge tech, or constantly scanning the horizon for the next gadget. However, the Musiio team is remarkably down to earth. And, even though they’re leading the way in AI for the music industry, they tend to favour elegant solutions to day-to-day problems rather than high-tech contraptions. Here are 11 pieces of office and home tech that our in-house specialists in the tech and sales teams recommend for work and home. Work Bose QuietComfort Earbuds: Noise-cancelling for produc ..read more

For many years, music tagging has been and continues to be a pain for pretty much everyone who has to do it. There’s too much to do, and too little time and money to truly do it well. So many do it badly, or not at all. Think of a future where companies and musicians, of any size or commercial stature respectively, can all afford to do it at a high level. Every catalogue is organized, discoverable, and a rich source of data-driven insights. At Musiio, that future is now. Our AI has been trained on 2 centuries of music to recognize and tag 84 genres, as well as moods, instruments, energy, audio ..read more