PointZero: an Introduction to NMF-Inspired Audio Mosaicing in Max скачать в хорошем качестве

PointZero: an Introduction to NMF-Inspired Audio Mosaicing in Max

Download PointZero: https://gumroad.com/encanti FluCoMa: https://www.flucoma.org/download/ HISSTools Impulse Response Toolbox (for shiftrange resampling)... you can easily download this directly from the Max Package Manager inside of max, but here it is on github: https://github.com/HISSTools/HISSTool... NMF Audio Mosaicing explained by Rob Clouth:    • Sónar+D CCCB 2020 Talk: "Journey to the Ce...      • Sample Challenge: Rob Clouth reconstructs ...   Zero Point (Mesh 2020) by Rob Clouth: https://robclouth.bandcamp.com/album/... PointZero (aka ⱣØỊИ₮ZЄЯ0) is a FluCoMa-powered implementation of NMF-based Concatenative Sound Synthesis (Driedger 2015), inspired by Rob Clouth's "Reconstructor" software used on the album Zero Point (Mesh 2020). PointZero was created by Ben Cantil aka Encanti with help from Pierre Alexandre Tremblay & Owen Green, originally made as part of FluCoMa hack day at University of Edinburgh, 2021. Concatenative Sound Synthesis (CSS), otherwise known as Audio Mosaicing, is a term that describes a broad set of data-driven approaches for interacting with an audio segment database, or Corpus, primarily by re-creating a Target sound from corpus segments through a descriptor-lead analytical comparison and superimposition algorithm. The sound engine behind CSS resembles granular synthesis, except that aspects such as the grain size and position in the corpus are determined by a data-driven query. The method used for PointZero uses an NMF-based machine learning algorithm in place of descriptors - an algorithm originally published by Jonathan Driedger, Thomas Prätzlich, and Meinard Müller: "Let It Bee — Towards NMF-Inspired Audio Mosaicing" (2015). This algorithm was implemented by FluCoMa in an object called fluid.buffcross~, which this patch is built around, with an emphasis on producing stereo output results quickly and easily. The original "Let It Bee" Algorithm can be found here: https://www.audiolabs-erlangen.de/res... An open source python implementation by Chris Tralie and Alex Russo can also be found here: https://github.com/ctralie/PZLetItBee ...and here: https://alexrusso.me/pzletitbee/ Special thanks to my academic advisors Martin Parker, Tom Mudd, and Jules Rawlinson. Thank you to Chris Tralie and Jonathan Driedger for helping me understand NMF concatenation. Thank you to Rodrigo Constanzo, Alex Russo, Rob Clouth, Norbert Schnell, and Catherine Stewart for supporting this project. My research paper which chronicles my use of this synthesis technique, along with a 37-minute album which uses concatenative sound synthesis extensively, will be available eventually (probably in 2022). Keep an eye on my socials and stay in touch for updates. I'll also be updating this patch as I fix those pesky bugs. https://gumroad.com/encanti   / zebblerencantiexperience     / encanti   https://encanti.com https://zebblerencantiexperience.com follow me: ig: @encantimusic t: @encanti fb: facebook.com/encanti