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MaGeSY ® R-EVOLUTiON™⭐⭐⭐

  • TF-72a v2.2.2 AAX VST3 x64 WiN-R2R
    November 23rd, 2024 ⚡
    Categories:

    TF-72a v2.2.2 AAX VST3 x64 WiN-R2R

    TF-72a v2.2.2 WiN

    Team R2R | 18 September 2024 | 51.5 MB

    Introducing the “TF-72a” – a cutting-edge audio plugin meticulously crafted through the revolutionary power of Neural Networks and Deep Learning. This plugin is a faithful emulation of the legendary Vintage German tube preamp, an iconic piece of German engineering that graced some of the most renowned recording studios of yesteryears. Whether you’re tracking vocals, guitars, drums, or any other instrument, this plugin brings a touch of history and a dose of analog charm to your digital audio workstation. Unlock the secrets of the past and add a timeless sheen to your modern productions with the TF-72a – where the art of yesterday meets the science of tomorrow.


    Viewed 37555 By Music Producers & DJ´s.


  • Audio Classification Using Convolutional Neural Net TUTORiAL-MaGeSY

    Audio Classification Neural Net

    P2P | 29 August 2024 | 4.44 GB

    This course is designed to provide a real understanding of handling audio files in machine learning. This course will give you a complete track record of processing audio files from A to Z using Python. This course will explain how to use Convolutional Neural Networks to generate an H5 AI model for audio classification purposes. This course gives you a complete understanding of Raspberry Pi 5 assembly, programming, AI Model deployment, and prediction of audio files. We will learn how to identify audio environments for machine-learning purposes. We will learn how to record audio files and slice them into clips of positive and negative types. How to process the raw audio clips and inject the “keyword” to be detected by the neural network. Apply clip labeling, clip slicing, and clip batching for the preparation of feeding audio clips to the Neural Net. Apply the required stages (load, time domain, frequency domain, spectrogram, and resize) to process raw audio clips for prediction use. Use Python programming to generate an H5 AI model for audio prediction purposes. Deploy and run the H5 AI model inside the Raspberry Pi 5 to control the movement of the servo motor with audio order. Testing the model with a real-time audio prediction process.


    Viewed 12115 By Music Producers & DJ´s.


  • Neural Mix Pro v2.0.2 macOS-TNT

    Neural Mix Pro v2.0.2 macOS

    TNT | 09 August 2024 | 144.62MB

    Music Source Separation

    Extract beats, instruments, and vocals of any song

    Welcome to Neural Mix™ Pro, the AI-powered music player & editor for producers, DJs, and musicians. Created by Algoriddim, winner of multiple Apple Design Awards, Neural Mix™ Pro provides an intuitive interface to isolate beats, instruments, and vocals of any song. You can create beat-precise loops, change tempo, and transpose the key of a song, all while removing vocals, percussive, or harmonic parts in real-time. The advanced offline export allows you to extract acappellas and instrumentals in pristine sound quality, for use in your favorite DJ or music production software. Whether you’re a professional or just someone who loves to play with music, Neural Mix™ Pro allows you to deconstruct songs into its original components providing a unique tool to your creative workflow.


    Viewed 32111 By Music Producers & DJ´s.


  • Neural-Q v2.1.0 AAX VST3 x64 WiN-MOCHA
    October 30th, 2023 ⚡
    Categories:

    Neural-Q v2.1.0 AAX VST3 x64 WiN-MOCHA

    Neural-Q v2.1.0 WiN

    MOCHA | 02 July 2023 | 36 MB

    Neural Q gives your music a very “analog” sounding Top-end sparkle and “heavy” bottom end seldom found in plugin equalizers. The pre-amp section has been accurately captured from a solid-state modern pre-amp with cinema transformers. A.I / Neural Network-Based Eq and Saturation Plugin.


    Viewed 2216 By Music Producers & DJ´s.


  • DTS Neural UpMix v1.0.4 VST RTAS x86 WiN-AiR

    DTS Neural UpMix v1.0.4 WiN

    Team AiR | 01/2011 | 6.86 MB

    DTS Neural Surround UpMix technology was ranked #1 in double blind listening tests, outperforming all other methods in near discreteness, envelopment, and original spatial location. The DTS Neural Surround UpMix transforms any stereo signal into a surround sound experience. Audio that’s encoded and downmixed using the DTS Neural Surround DownMix can be restored with the correct information that delivers a near-discrete 5.1 surround sound experience. Stereo content that has not been encoded can be translated into width and depth information, creating a pleasing and enveloping surround image – often indistinguishable when compared to the original surround sound mix content. Matrix-encoded Lt/RT stereo signals can be upmixed by DTS Neural Surround and provide a high quality surround sound experience to a surround sound image that is more stable than that of traditional matrix decoders. DTS Neural Surround UpMix spectrally separates individual audio elements and places each in its intended location within the surround environment. This results in unparalleled image placement and stability. The audio is placed exactly where it would be heard in a professional Live End Dead End (LEDE) mixing studio listening environment. The UpMix does this while preserving the artistic integrity of the content.


    Viewed 14320 By Music Producers & DJ´s.


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