dpnp
matchering
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| dpnp | matchering | |
|---|---|---|
| 1 | 4 | |
| 91 | 1,198 | |
| - | - | |
| 9.5 | 3.9 | |
| 2 days ago | 3 months ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | GNU General Public License v3.0 only |
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matchering
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Top 10 AI Mixing and Mastering Tools for Musicians
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.
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what am I doing wrong? 😞
Ever tried matching ? I really dig that tool: https://github.com/sergree/matchering
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Automatic Reference Mastering Website
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,
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Mastering Plugin
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.
What are some alternatives?
numpy-stl - Simple library to make working with STL files (and 3D objects in general) fast and easy.
pydub - Manipulate audio with a simple and easy high level interface
cupy - NumPy & SciPy for GPU
librosa - Python library for audio and music analysis
sparse_dot - Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
m3u8 - Python m3u8 Parser for HTTP Live Streaming (HLS) Transmissions
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends
essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
pyechonest - Python client for the Echo Nest API