Matchering is a Python-based audio processing library that uses advanced algorithms to match timbre and adjust audio characteristics to make it closer to the target signal. It is easy to use, flexible and high-performance, and is suitable for music production, audio post-production and other fields. It follows a simple idea-you take two audio files and enter them into Matchering: Goal (the track you want to master and you want it to sound like a reference track) Reference (another track, such as some kind of "wet" pop song, you want your goal to sound like it) Our algorithm matches these two tracks and provides you with a master TARGET track that has the same RMS, FR, peak amplitude, and stereo width as the REFERENCE track. The two audios are algorithmically matched to track to synthesize a new audio. For details, please refer to the source project address: github.com/sergree/matchering
