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    Werbung/Advertising

    5. April 2022
    Our Score Click to rate this post![Total: 0 Average: 0]english below Da die Spendenbereitschaft um 95% nachgelassen hat, und da ja die Lebenskosten immer teurer sind, bin ich gezwungen, leider Werbung zu schalten, sonst müsste ich über Kurz oder lang den Server schließen. Vorteil für Gäste und User: Die “Oldies...

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    Registrierung/Register Regeln/Rules

    2. March 2022
    Our Score Click to rate this post![Total: 0 Average: 0]English Below! Es steht euch frei, sich im Blog zu registrieren, wer aber 10 Minuten E-Mails nutzt, wird rigoros als Spam markiert und ohne Vorwarnung gelöscht. Also bitte nur echte erreichbare Mail. Die Accounts werden vom Team freigeschaltet, und da es...

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    Download rules/Download Regeln im alten/old Forum

    18. July 2021
    Our Score Click to rate this post![Total: 0 Average: 0]Gäste: Können in den allen Foren ohne Anmeldung Dateien runterladen. Wer Hilfe oder Fragen braucht oder hat, muss sich anmelden Registrierung erforderlich sind: 1. Music-Society-Plugins 2. alle Support-Foren wie Help Me(Nur Hilfe für Plugins, Musikprogramme), Kujashi Sounds,  Gyl Synths, Mira-Katharina-Plugins 3....

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    Please Support us!!!

    2. February 2021
    Our Score Click to rate this post![Total: 0 Average: 0]The forum and the blog depend on your donations The server has received an upgrade, so it has twice the memory and speed As a bank transfer: https://testblog.music-society.de/spenden-donations-via-konto/ In the forum: https://music-society.de/donate.php New donation-buttom If possible, I would like to keep...

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TS-M1N3 by GuitarML
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TS-M1N3 is a guitar plugin clone of a classic overdrive pedal. Machine learning was used to create a model of both the drive and tone knobs for an accurate recreation of the pedal in all possible configurations. Add this to your signal chain prior to amp/cab sims for a realistic overdriven sound on your electric guitar.

TS-M1N3 is free and open source on Github for anyone interested in audio DSP with machine learning and neural networks. The capture technique used here is capable of reproducing the dynamic response of real amps and pedals.

Check out the source code on GitHub.

Read the tech article published on Towards Data Science.

Visit the website for more from GuitarML.

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Bam

Musician since about 45 years(various flutes, synths) Composer since 1986 admin of the forum + blog Music-Society

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