friture VS matchering

As far as I know, the only more accurate tools for resonance are those that show full spectrograms, for example: In-formant, Friture, and Praat.

In this case it's Friture: https://github.com/tlecomte/friture

Get a spectrogram like this one: https://friture.org/ (use just one graph the 2d spectrogram, dm me for settings) try 2 things: first of all breathe into your mic and try to move the lines/groupings of data upwards and downwards by moving your tongue and throat. Then do the same but take a video of white noise (from youtube) on your phone and place the phone speaker against your lips. Move your tongue and throat to move the groupings/lines of data up and down the graph. These are vocal size/resonance exercises you can practice with sight.

I got some free audio analysis software here. All I have is a webcam mic, but I'm pretty sure I see something on the spectrogram at 60, 120, and 240 hz. But I'm not sure if I'm going down the wrong path here.

If what you want is a real spectrum analyzer you'll need to try other software. For something free and open-source like Audacity, try Friture.

Your main focus should be work on balancing your vocal weight and vocal size and there are no good applications to help with that (there are spectrograms, but it's a rabbit hole - they are very hard to interpret and as practice shows, people do not benefit from spending time on trying to understand how to use them.) Above that, one of the first goals should be for you to learn how to hear the changes in size and weight directly, through auditory feedback, without any assistance, so using tools may even be detrimental (if you teach yourself to focus on them instead on honing your listening skills, that is.)

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.