Fretello is an AI-based music education app that empowers people to express themselves through music by inspiring and teaching guitar in an interactive and fun way. After iOS and Android, you can now learn the guitar on macOS Catalina.
@ipgregor, optimizing learning content for small screens always has been a challenge. Since a lot of our users have been using tablets at least in parallel to their phones, taking the app to an even bigger screen was a logical consequence.
It gives users the option to learn and practice from their home studio or workplace, which I for example do as well. A bigger screen allows us to display more details. All in all, yes, we do believe that having the possibility to learn with your Mac will increase our user base significantly.
Hey,
Florian here, co-founder of Fretello.
I'm excited to announce the launch of Fretello for Mac.
Here at Fretello, we empower people to express themselves through music by teaching them guitar in an interactive and fun way.
Back in the days, I spent hours evaluating thousands of online and offline guitar tutorials and still needed a better solution. Why? Because none of the existing solutions gave feedback and told me if I was doing things right, where I was making mistakes and how I could recover from that.
That’s why we create a smarter way of learning a musical instrument:
* Minimizing the time for finding the right exercises for you
* Guiding you in executing the exercises the right way, progressing at the right speed and consistently getting better with feedback
* Centralizing guitar learning, practicing and playing songs into one tool
* Using AI-powered technology to not only analyze what you play but also give you invaluable feedback to progress at your own speed
Overall, the method behind Fretello helped me step up my guitar game like I could not have expected before.
And today, half a million guitarists worldwide benefit from it.
It's free to sign up, so give it a test drive!
We'd love to hear your feedback (and criticism), so we'll know how to make this tool even better.
Try it out for free, and let us know what you think!
@philipp_baldauf, yes it does. We are using CoreML in combination with neuronal networks to analyze the user's performance in real-time. The app is able to pick up your guitar signal from the microphone and give you feedback and instructions on how to recover from your mistakes.
This is especially useful, if you are at the very beginning of your guitar journey.
Does it work with other instruments. Say anything form a Drum to Percussion instrument? If no are there any plans of introducing the same anytime soon?
@naimil_shah We currently support acoustic and electric guitars. Our technology is desined in a way that it works with any instrument. We will bring the app to other instruments soon.
@nadine_klaffenbock, for us it is a great opportunity to reach users that prefer the Mac setup over mobile. In addition, a bigger screen will allow the app to display more content.
?makers, it's quite interesting to see that your app works both on mobile devices and Mac. How did you handle the interaction from touch screen to a desktop environment?
@markushi We needed to adapt some of the UI concepts for the desktop experience. E.g. swiping left/right is easy on a touchscreen, for desktop we added additional elements to reveal content to the left and right.
Other parts were more straight forward to translate to the desktop's point and click interactions.
@vivian_covatti Being able to reach more users, making use of a bigger screen. Adopting for a bigger screens (Mac) also helped us to improved our iPad experience.
@michihil17, yes we do.
The main challenge was obviously going from touch to mouse interaction which has a major impact on how people navigate the app. That's why we switched from tab navigation to a native sidebar. This actually allowed us to adopt a desktop-like interface that looks native to mac users.
@patrick_fischer1, as already mentioned above, we use CoreML to analyze our users' performance, give feedback and measure their progress through the device's microphone.
Given the size of audio recordings, off-site analysis on a server has never been a feasible option for our team. Uploading audio files to a server, remotely processing them there and sending the results back would drain mobile data packages and doesn't allow for real-time processing.
For this purpose, we developed and trained our own ML models, which are highly optimized for our use case and reasonably small compared to other, default models and use CoreML to analyze audio signals directly on the phones.
Thanks to the Apple Bionic chip we can rely on a powerful, hardware accelerated environment, providing us with everything we need to run our calculations in real-time.
@ana_lorena, that's an interesting question.
Basically, Catalyst allows us to easily bring an existing iOS app with a layout that's optimized for iPads to the Mac platform. The Fretello iPhone, iPad and now also the Mac App share a large portion of source code.
The layout however is optimized for each and every platform, taking platform specific UX concepts into account.
Not only do I love the idea behind this application, but also the fact that it can help me learn especially during these times when I want to learn this instrument but attending offline classes isn't possible. Kudos to the team!
@sudhanjali_sethi Thanks, we recently also started to team up with musicians all over the world to help them make a living for sharing their knowledge.
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