melatonin_audio_sparklines VS matchering

You found the Achilles' heel of my project! I don't mind the fonts being different sizes or not monospaced, but the fact that there's a difference in height in the font rendering between ⎺ and ‾ on different platforms is a bummer. I have a flag in the C++ implementation so they can still be rendered "correctly" in IDEs like Xcode [1].

I felt doomed to Unicode in this case because of the number of places I wanted them to show up (CLion lldb integration, GitHub actions output, terminal). I would have loved to actually render graphics! I actually never thought about how they would render on a blog article, I wouldn't generally wouldn't use them for blogging...

1. https://github.com/sudara/melatonin_audio_sparklines/blob/ma...

Nice! I became obsessed with rendering sparkline representations of chunks of audio for the same reason: to inspect failures when writing tests / refactoring. https://github.com/sudara/melatonin_audio_sparklines

Songmastr is a web-based AI mastering tool. Utilizing the power of the open-source Python library called Matchering, Songmastr is able to create a masterful audio track that matches a reference song of your choosing. The algorithm studies the RMS, FR, peak amplitude and stereo width of your reference track before applying it to the target audio file.

Ever tried matching ? I really dig that tool: https://github.com/sergree/matchering

I made an automatic mastering website (www.songmastr.com) using the open source software Matchering (all credit to them). I have no users for the meantime, so I'd be happy to get some feedback ! How it works: 1 - You upload your song 2 - You chose a reference for mastering from the catalog / or you upload your own 3 - That's it ! Download the result. The matchering algorithm tries to match frequency response, RMS, peak amplitude and stereo width. The goal is not to replace professional mastering, but rather to offer a quick way to get your demo, or home recording in the same ballpark as commercial songs. Is it free ? - The link below gives out 5000 credits to the first users to claim them - After that, I plan on offering 2-3 free masters per week. Users that need more intensive server use can purchase credits Try it out: https://www.songmastr.com/?oip=eNoztTAx0zM1MjDRs7C0NNAzMjc2BgAmiwPW Have a nice day,

Re: Matchering (https://github.com/sergree/matchering), here is a little more information. If I recall correctly there is a docker-ized version so you can run it locally relatively easily if you are willing to learn a couple of bash commands. I have not played with it a lot and it is separate from the DAW.